- Computer Science, Association Rules, Data Mining, Normalization, Spatial Databases, Database Design, and 51 moreData Quality, Relational Database, Ontology, Query Optimization, Optimization and Prediction of Bead Geometry, Database, Performance Evaluation, Clustering, K means Clustering, Web Usage Mining, Data Warehousing, Privacy, Personalization, Concurrency Control, Data Warehouse, Neural Network, Social Networking Security and Privacy, Institutional Research, Spatial Data, Segmentation, RDBMS, Classification, Search, Support, Opinion Mining (Data Mining), K-means, Decision Tree, VANETs, Component, Precision Agriculture, Universal Knowledge Processing Systems: A Conceptual View and Architecture, NoSQL, Information Systems, Technology, Database Management Systems, Data Base Management Systems (DBMS) & Information Retrieval, SQL+MySQL, Databases, Database Management Systems and Querry Processing, Data Structures, Java Programming, Web Programming, Web Design, Travel Behavior, Scholarship Hunter, Engineering and Computer Science, Operating Systems, Wireless networks, Web Portals, Multimedia, and Distributed Computingedit
- The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal th... moreThe International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systemsedit
Data modeling in the context of database design is a challenging task for any database designer, even more so for novice designers. A proper database schema is a key factor for the success of any information systems, hence conceptual data... more
Data modeling in the context of database design is a challenging task for any database designer, even more so for novice designers. A proper database schema is a key factor for the success of any information systems, hence conceptual data modeling that yields the database schema is an essential process of the system development. However, novice designers encounter difficulties in understanding and implementing such models. This study aims to identify the difficulties in understanding and implementing data models and explore the origins of these difficulties. This research examines the data model produced by students and maps the errors done by the students. The errors were classified using the SOLO taxonomy. The study also sheds light on the underlying reasons for the errors done during the design of the data model based on interviews conducted with a representative group of the study participants. We also suggest ways to improve novice designer's performances more effectively, so they can draw more accurate models and make use of advanced design constituents such as entity hierarchies, ternary relationships, aggregated entities, and alike. The research findings might enrich the data body research on data model design from the students' perspectives.
Research Interests:
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications.... more
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
Research Interests:
Polycystic ovarian syndrome(PCOS) is one of the predominant hormonal imbalances present in women of reproductive age. It needs to be diagnosed and treated at an earlier stage as it's inter-related to diabetes, high cholesterol levels, and... more
Polycystic ovarian syndrome(PCOS) is one of the predominant hormonal imbalances present in women of reproductive age. It needs to be diagnosed and treated at an earlier stage as it's inter-related to diabetes, high cholesterol levels, and obesity. This paper presents an application specially designed for women to help them keep track of their Body Mass Index, Blood Sugar, and Blood Pressure based on their age. The people diagnosed with PCOS(an endocrine disorder) can use this application to make their life easy since it helps follow certain exercises, diets, and timely reminders for water and medicines. It has features like the period tracker to track the user’s menstrual cycle, find dieticians nearby, links to various PCOS supplements, users can track their moods during different menstrual phases and control their mood swings. Finally, the application has games to add that interactive touch.
Research Interests:
Oracle is one of the largest vendors and the best DBMS solution of Object Relational DBMS in the IT world. Oracle Database is one of the three market-leading database technologies, along with Microsoft SQL Server's Database and IBM's DB2.... more
Oracle is one of the largest vendors and the best DBMS solution of Object Relational DBMS in the IT world. Oracle Database is one of the three market-leading database technologies, along with Microsoft SQL Server's Database and IBM's DB2. Hence in this paper, we have tried to answer the million-dollar question “What is user’s responsibility to harden the oracle database for its security?” This paper gives practical guidelines for hardening the oracle database, so that attacker will be prevented to get access into the database. The practical lookout for protecting TNS, Accessing Remote Server and Prevention, Accessing Files on Remote Server, Fetching Environment Variables, Privileges and Authorizations, Access Control, writing security policy, Database Encryption, Oracle Data Mask, Standard built in Auditing and Fine Grained Auditing (FGA) is illustrated with SQL syntax and executed with suitable real life examples and its output is tested and verified. This structured method acts as Data Invictus wall for the attacker and protect user’s database.
Research Interests:
Distributed databases and data replication are effective ways to increase the accessibility and reliability of un-structured, semi-structured and structured data to extract new knowledge. Replications offer better performance and greater... more
Distributed databases and data replication are effective ways to increase the accessibility and reliability of un-structured, semi-structured and structured data to extract new knowledge. Replications offer better performance and greater availability of data. With the advent of Big Data, new storage and processing challenges are emerging. To meet these challenges, Hadoop and DHTs compete in the storage domain and MapReduce and others in distributed processing, with their strengths and weaknesses. We propose an analysis of the circular and radial replication mechanisms of the CLOAK DHT. We evaluate their performance through a comparative study of data from simulations. The results show that radial replication is better in storage, unlike circular replication, which gives better search results.
Research Interests:
In this paper, we describe the developed model of the Convolutional Neural Networks CNN to a classification of advertisements. The developed method has been tested on both texts (Arabic and Slovak texts).The advertisements are chosen on a... more
In this paper, we describe the developed model of the Convolutional Neural Networks CNN to a classification of advertisements. The developed method has been tested on both texts (Arabic and Slovak texts).The advertisements are chosen on a classified advertisements websites as short texts. We evolved a modified model of the CNN, we have implemented it and developed next modifications. We studied their influence on the performing activity of the proposed network. The result is a functional model of the network and its implementation in Java and Python. And analysis of model results using different parameters for the network and input data. The results on experiments data show that the developed model of CNN is useful in the domains of Arabic and Slovak short texts, mainly for some classification of advertisements. This paper gives complete guidelines for authors submitting papers for the AIRCC Journals.
Research Interests:
The integration of XML data sources which have different schemas/DTD can originate structural and vocabular heterogeneity. In this context, it is difficult to write satisfiable queries. As a solution, many Information Systems focus on... more
The integration of XML data sources which have different schemas/DTD can originate structural and vocabular heterogeneity. In this context, it is difficult to write satisfiable queries. As a solution, many Information Systems focus on building approximate evaluation techniques for exact queries. As a project, we build flexible and preference XML query languages and associated evaluation algorithms. In this paper, we propose the Flexible Preference Tree Pattern Query (FPTPQ), a new TPQ that allows multiple items/names (resp. paths) for the same node, in order to integrate (resp. to locate) all the different instances of the database nodes. The FPTPQ enable to have preference nodes and ordering operators among label items and paths. We also provide a holistic algorithm that evaluates the FPTPQ and capitalises the preferences to determine the best available solutions. Illustrations and experimentations are realized to show the effectiveness of our solutions.
Research Interests: Data Mining and Databases
The growth of big-data sectors such as the Internet of Things (IoT) generates enormous volumes of data. As IoT devices generate a vast volume of time-series data, the Time Series Database (TSDB) popularity has grown alongside the rise of... more
The growth of big-data sectors such as the Internet of Things (IoT) generates enormous volumes of data. As IoT devices generate a vast volume of time-series data, the Time Series Database (TSDB) popularity has grown alongside the rise of IoT. Time series databases are developed to manage and analyze huge amounts of time series data. However, it is not easy to choose the best one from them. The most popular benchmarks compare the performance of different databases to each other but use random or synthetic data that applies to only one domain. As a result, these benchmarks may not always accurately represent real-world performance. It is required to comprehensively compare the performance of time series databases with real datasets. The experiment shows significant performance differences for data injection time and query execution time when comparing real and synthetic datasets. The results are reported and analyzed.
Research Interests:
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications.... more
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
Research Interests:
Space Filling Curve (SFC) mapping-based clustering and indexing works effectively for point clouds management and querying. It maps both points and queries into a one-dimensional SFC space so that B+- tree could be utilized. Based on the... more
Space Filling Curve (SFC) mapping-based clustering and indexing works effectively for point clouds management and querying. It maps both points and queries into a one-dimensional SFC space so that B+- tree could be utilized. Based on the basic structure, this paper develops a generic HistSFC approach which utilizes a histogram tree recording point distribution for efficient querying. The goal is to resolve the issue of skewed data querying. Besides, the paper proposes an agile method to compute a continuous Level of Detail (cLoD), and integrates it into HistSFC to support smooth rendering of massive points. Results indicate that for range queries, HistSFC decreases the False Positive Rate (FPR) of selection by maximally 80%, compared to previous approaches. It also performs significantly faster than the state-of- the-art Oracle SDO_PC solution. With improved performance on visualization and k Nearest Neighbour (kNN) search, HistSFC can therefore be used as a new standard solution.
Research Interests:
To process a large volume of data, modern data management systems use a collection of machines connected through a network. This paper proposes frameworks and algorithms for processing distributed joins—a compute- and... more
To process a large volume of data, modern data management systems use a collection of machines connected through a network. This paper proposes frameworks and algorithms for processing distributed joins—a compute- and communication-intensive workload in modern data-intensive systems. By exploiting multiple processing cores within the individual machines, we implement a system to process database joins that parallelizes computation within each node, pipelines the computation with communication, parallelizes the communication by allowing multiple simultaneous data transfers (send/receive). Our experimental results show that using only four threads per node the framework achieves a 3.5x gains in intra-node performance while compared with a single-threaded counterpart. Moreover, with the join processing workload the cluster-wide performance (and speedup) is observed to be dictated by the intra-node computational loads; this property brings a near-linear speedup with increasing nodes in the system, a feature much desired in modern large-scale data processing system.
Research Interests:
5th International Conference on Data Mining and Software Engineering (DMSE 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Data mining and Software... more
5th International Conference on Data Mining and Software Engineering (DMSE 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Data mining and Software Engineering. The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding Data mining and modern software engineering concepts and establishing new collaborations in these areas.
Research Interests:
R is widely used by researchers in the statistics field and academia. In Botswana, it is used in a few research for data analysis. The paper aims to synthesis research conducted in Botswana that has used R programming for data analysis... more
R is widely used by researchers in the statistics field and academia. In Botswana, it is used in a few research for data analysis. The paper aims to synthesis research conducted in Botswana that has used R programming for data analysis and to demonstrate to data scientists, the R community in Botswana and internationally the gaps and applications in practice in research work using R in the context of Botswana. The paper followed the PRISMA methodology and the articles were taken from information technology databases. The findings show that research conducted in Botswana that use R programming were used in Health Care, Climatology, Conservation and Physical Geography, with R part as the most used R package across the research areas. It was also found that a lot of R packages are used in Health care for genomics, plotting, networking and classification was the common model used across research areas.
Research Interests:
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications.... more
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
Research Interests: Computer Science, Artificial Intelligence, Data Mining, Opinion Mining (Data Mining), Diagrammatic Knowledge Acquisition, and 11 moreEducational Data Mining, Data Mining in Bioinformatics, Data mining (Data Analysis), Database Management Systems, Database Management Systems and Querry Processing, Data Warehousing and Data Mining, DATABASE MANAGEMENT SYSTEM, Privacy Preserving Data Mining, Knowledge Acquisition, Database Management, and Big Data / Analytics / Data Mining
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications.... more
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this filed, and establishing new collaborations in these areas.
Research Interests:
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications.... more
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
Research Interests:
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications.... more
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
Research Interests: Relational Database, Digital Libraries, Data Mining, Database Systems, Metadata, and 12 moreKnowledge Discovery in Databases, Opinion Mining (Data Mining), Educational Data Mining, Databases, Data mining (Data Analysis), Data Warehousing and Data Mining, Privacy Preserving Data Mining, Database Oracle, Metadata in Data Warehousing, Big Data / Analytics / Data Mining, MySQL database, and Database
Data anonymization is one of the solutions allowing companies to comply with the GDPR directive in terms of data protection. In this context, developers must follow several steps in the process of data anonymization in development and... more
Data anonymization is one of the solutions allowing companies to comply with the GDPR directive in terms of data protection. In this context, developers must follow several steps in the process of data
anonymization in development and testing environments. Indeed, real personal and sensitive data must not leave the production environment which is very secure. Often, anonymization experts are faced with
difficulties including the lack of data flows and mapping between data sources, the non-cooperation of the database project teams (refusal to change) or even the lack of skills of these teams present due to the age of
the systems developed by experienced teams who unfortunately left the project. Other problems are lack of data models. The aim of this paper is to discuss an anonymization process of databases of banking
applications and present our context-based recommendations to overcome the different issues met and the solutions to improve methodologies of data anonymization process.
anonymization in development and testing environments. Indeed, real personal and sensitive data must not leave the production environment which is very secure. Often, anonymization experts are faced with
difficulties including the lack of data flows and mapping between data sources, the non-cooperation of the database project teams (refusal to change) or even the lack of skills of these teams present due to the age of
the systems developed by experienced teams who unfortunately left the project. Other problems are lack of data models. The aim of this paper is to discuss an anonymization process of databases of banking
applications and present our context-based recommendations to overcome the different issues met and the solutions to improve methodologies of data anonymization process.
Research Interests:
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications.... more
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this filed, and establishing new collaborations in these areas.
Research Interests:
This research advocates support for the continuous development and modernization of the police and gendarmic forces, analysing the use of Drones in the operational activities of the Portuguese and Spanish security, police and gendarmic... more
This research advocates support for the continuous development and modernization of the police and gendarmic forces, analysing the use of Drones in the operational activities of the Portuguese and Spanish
security, police and gendarmic forces: the GNR and the Guardia Civil. Analysing the implementation and expansion of Drones, valuing how the use of these means is advantageous for the police service and for the
operations of the GNR and Guardia Civil. Due to the major changes taking place in the world, it is crucial to rethink security and Portugal is gradually adapting to this reality, resulting in new demands for daily
police service. The adopted methodology is based on the inductive method that allowed the data collected through analysis to be generalized of data on Drones of the Guardia Civil, appreciating their characteristics and use, with the aim of understanding and comparing their modus operandi regarding the use of Drones in the GNR. In short, it was possible to verify the importance and potential of Drones in surveillance, reconnaissance and target tracking missions having been carried out productive and important conclusions for building Drones capacity in the GNR.
security, police and gendarmic forces: the GNR and the Guardia Civil. Analysing the implementation and expansion of Drones, valuing how the use of these means is advantageous for the police service and for the
operations of the GNR and Guardia Civil. Due to the major changes taking place in the world, it is crucial to rethink security and Portugal is gradually adapting to this reality, resulting in new demands for daily
police service. The adopted methodology is based on the inductive method that allowed the data collected through analysis to be generalized of data on Drones of the Guardia Civil, appreciating their characteristics and use, with the aim of understanding and comparing their modus operandi regarding the use of Drones in the GNR. In short, it was possible to verify the importance and potential of Drones in surveillance, reconnaissance and target tracking missions having been carried out productive and important conclusions for building Drones capacity in the GNR.
Research Interests: Unmanned Aircraft Systems, Unmanned Aerial Vehicles, Database Management Systems, Database Management Systems and Querry Processing, Database Management Systems and Mobile Development, and 5 moreDatabase Systems Management, Guardia Civil, Relational Database Management Systems, Distributed Database Management Systems, and Guarda Nacional Republicana
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications.... more
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Database management systems.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Database management systems.
Research Interests:
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contributenew results in all areas of the database management systems & its applications. The... more
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contributenew results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this filed and establishing new collaborations in these areas.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Database management systems.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Database management systems.
Research Interests: Semantic Web Technologies, Modelling Knowledge Coordination, Semantic Web technology - Ontologies, Semantic Web, Semantic Web Services, and 11 moreDatabase Management Systems, Database Management Systems and Querry Processing, Image Processing , Symantic web ,Knowledge enginering, Process Modelling, Web Semántica, Database Management Systems and Mobile Development, Semantic Web for Health Care and Life Sciences, Process Modelling and Simulation, Knowledge Processing, Medical Knowledge Processing, and Knowledge organization and processing
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications.... more
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
Research Interests:
To process a large volume of data, modern data management systems use a collection of machines connected through a network. This paper proposes frameworks and algorithms for processing distributed joins—a compute- and... more
To process a large volume of data, modern data management systems use a collection of machines connected through a network. This paper proposes frameworks and algorithms for processing distributed joins—a compute- and communication-intensive workload in modern data-intensive systems. By exploiting multiple processing cores within the individual machines, we implement a system to process database joins that parallelizes computation within each node, pipelines the computation with communication, parallelizes the communication by allowing multiple simultaneous data transfers (send/receive). Our experimental results show that using only four threads per node the framework
achieves a 3.5x gains in intra-node performance while compared with a single-threaded counterpart. Moreover, with the join processing workload the cluster-wide performance (and speedup) is observed to be dictated by the intra-node computational loads; this property brings a near-linear speedup with increasing nodes in the system, a feature much desired in modern large-scale data processing system.
achieves a 3.5x gains in intra-node performance while compared with a single-threaded counterpart. Moreover, with the join processing workload the cluster-wide performance (and speedup) is observed to be dictated by the intra-node computational loads; this property brings a near-linear speedup with increasing nodes in the system, a feature much desired in modern large-scale data processing system.
Research Interests:
R is widely used by researchers in the statistics field and academia. In Botswana, it is used in a few research for data analysis. The paper aims to synthesis research conducted in Botswana that has used R programming for data analysis... more
R is widely used by researchers in the statistics field and academia. In Botswana, it is used in a few research for data analysis. The paper aims to synthesis research conducted in Botswana that has used R programming for data analysis and to demonstrate to data scientists, the R community in Botswana and internationally the gaps and applications in practice in research work using R in the context of Botswana. The paper followed the PRISMA methodology and the articles were taken from information technology databases. The findings show that research conducted in Botswana that use R programming were used in Health Care, Climatology, Conservation and Physical Geography, with R part as the most used R package across the research areas. It was also found that a lot of R packages are used in Health care for genomics, plotting, networking and classification was the common model used across research areas.
Research Interests:
9thInternational Conference on Data Mining (DaMi 2023) Conference provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum.
Research Interests:
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications.... more
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Database management systems.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Database management systems.
Research Interests:
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications.... more
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
Research Interests:
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications.... more
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
Research Interests:
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications.... more
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
Research Interests:
Clustering is a crucial part in the field of data mining, and common clustering methods include divisionbased methods, hierarchy-based methods, density-based methods, and grid-based methods. In order to improve the accuracy of clustering,... more
Clustering is a crucial part in the field of data mining, and common clustering methods include divisionbased methods, hierarchy-based methods, density-based methods, and grid-based methods. In order to improve the accuracy of clustering, an optimization study is made mainly for the division-based method FCM clustering, and an FCM clustering method that integrates active learning and principal component analysis (PCA) is proposed. The method first uses principal component analysis to reduce the dimensionality of the data to reduce the computation of electricity data, then trains the sample model by active learning, and introduces the entropy (Entropy) method in the uncertainty sampling method, the larger the entropy means the greater the uncertainty of the sample, and the smaller the entropy means the smaller the uncertainty of the sample, so as to filter the electricity data, and finally the electricity data are clustered by FCM clustering The power data is finally categorized by FCM clustering, and with the proliferation of power data, the power data can be more accurately categorized using this method to achieve the stability of the power grid as well as the utilization rate. Experimental results on three datasets show that this method improves the accuracy of power data clustering by up to 2 percentage points compared to the traditional clustering method without active learning, and achieves good results in each dataset compared to other methods.
Research Interests:
The growth of big-data sectors such as the Internet of Things (IoT) generates enormous volumes of data. As IoT devices generate a vast volume of time-series data, the Time Series Database (TSDB) popularity has grown alongside the rise of... more
The growth of big-data sectors such as the Internet of Things (IoT) generates enormous volumes of data. As IoT devices generate a vast volume of time-series data, the Time Series Database (TSDB) popularity has grown alongside the rise of IoT. Time series databases are developed to manage and analyze huge amounts of time series data. However, it is not easy to choose the best one from them. The most popular benchmarks compare the performance of different databases to each other but use random or synthetic data that applies to only one domain. As a result, these benchmarks may not always accurately represent real-world performance. It is required to comprehensively compare the performance of time series databases with real datasets. The experiment shows significant performance differences for data injection time and query execution time when comparing real and synthetic datasets. The results are reported and analyzed.
Research Interests:
Supported by Beijing City University in 2021 "the innovation and entrepreneurship training program for college students"
Research Interests:
The International Journal of Database Management Systems (IJDMS) is a bi monthly openaccess peer-reviewed journal that publishes articles which contribute new results in all areas ofthe database management systems & its applications. The... more
The International Journal of Database Management Systems (IJDMS) is a bi monthly openaccess peer-reviewed journal that publishes articles which contribute new results in all areas ofthe database management systems & its applications. The goal of this journal is to bringtogether researchers and practitioners from academia and industry to focus on understandingModern developments in this filed and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate researchresults, projects, surveying works and industrial experiences that describe significant advancesin the areas of Database management systems
Research Interests:
This paper provides the reader with a look at the cloud computing concept and its likely impact on information technology. It begins with a look at how cloud computing has rapidly evolved, examining what cloud computing is-and is not,... more
This paper provides the reader with a look at the cloud computing concept and its likely impact on information technology. It begins with a look at how cloud computing has rapidly evolved, examining what cloud computing is-and is not, seeing how the cloud has quickly taken hold as part of our everyday lives and how it is poised to become a major part of IT strategies for all organizations. We examine the notion of computing being "on demand," following in line with other services, such as electricity and telephony, that have become "utilities." We then examine how cloud computing challenges traditional models for pricing and procuring information technology. In the conclusion, we look at how the cloud model will ultimately serve to transform-in a big way-the information technology industry, as the shift from procuring IT "stuff" to buying IT services will be transformational across the landscape.
Research Interests:
The integration of XML data sources which have different schemas/DTD can originate structural and vocabular heterogeneity. In this context, it is difficult to write satisfiable queries. As a solution, many Information Systems focus on... more
The integration of XML data sources which have different schemas/DTD can originate structural and vocabular heterogeneity. In this context, it is difficult to write satisfiable queries. As a solution, many Information Systems focus on building approximate evaluation techniques for exact queries. As a project, we build flexible and preference XML query languages and associated evaluation algorithms. In this paper, we propose the Flexible Preference Tree Pattern Query (FPTPQ), a new TPQ that allows multiple items/names (resp. paths) for the same node, in order to integrate (resp. to locate) all the different instances of the database nodes. The FPTPQ enable to have preference nodes and ordering operators among label items and paths. We also provide a holistic algorithm that evaluates the FPTPQ and capitalises the preferences to determine the best available solutions. Illustrations and experimentations are realized to show the effectiveness of our solutions.
Research Interests:
In cloud environments, hardware configurations, data usage, and workload allocations are continuously changing. These changes make it difficult for the query optimizer of a cloud database management system (DBMS) to select an optimal... more
In cloud environments, hardware configurations, data usage, and workload allocations are continuously changing. These changes make it difficult for the query optimizer of a cloud database management system (DBMS) to select an optimal query execution plan (QEP). In order to optimize a query with a more accurate cost estimation, performing query re-optimizations during the query execution has been proposed in the literature. However, some of there-optimizations may not provide any performance gain in terms of query response time or monetary costs, which are the two optimization objectives for cloud databases, and may also have negative impacts on the performance due to their overheads. This raises the question of how to determine when are-optimization is beneficial. In this paper, we present a technique called ReOptML that uses machine learning to enable effective re-optimizations. This technique executes a query in stages, employs a machine learning model to predict whether a query re-optimization is beneficial after a stage is executed, and invokes the query optimizer to perform the re-optimization automatically. The experiments comparing ReOptML with existing query re-optimization algorithms show that ReOptML improves query response time from 13% to 35% for skew data and from 13% to 21% for uniform data, and improves monetary cost paid to cloud service providers from 17% to 35% on skewdata.
Research Interests:
Data modeling in the context of database design is a challenging task for any database designer, even more so for novice designers. A proper database schema is a key factor for the success of any information systems, hence conceptual data... more
Data modeling in the context of database design is a challenging task for any database designer, even more so for novice designers. A proper database schema is a key factor for the success of any information systems, hence conceptual data modeling that yields the database schema is an essential process of the system development. However, novice designers encounter difficulties in understanding and implementing such models. This study aims to identify the difficulties in understanding and implementing data models and explore the origins of these difficulties. This research examines the data model produced by students and maps the errors done by the students. The errors were classified using the SOLO taxonomy. The study also sheds light on the underlying reasons for the errors done during the design of the data model based on interviews conducted with a representative group of the study participants. We also suggest ways to improve novice designer's performances more effectively, so they can draw more accurate models and make use of advanced design constituents such as entity hierarchies, ternary relationships, aggregated entities, and alike. The research findings might enrich the data body research on data model design from the students' perspectives.
Research Interests:
The Big Data is unavoidable considering the place of the digital is the predominant form of communication in the daily life of the consumer. The control of its stakes and the quality its data must be a priority in order not to distort the... more
The Big Data is unavoidable considering the place of the digital is the predominant form of communication in the daily life of the consumer. The control of its stakes and the quality its data must be a priority in
order not to distort the strategies arising from their treatment in the aim to derive profit. In order to achieve this, a lot of research work has been carried out companies and several platforms created. MapReduce, is one of the enabling technologies, has proven to be applicable to a wide range of fields.
However, despite its importance recent work has shown its limitations. And to remedy this, the Distributed Hash Tables (DHT) has been used. Thus, this document not only analyses the and MapReduce implementations and Top-Level Domain (TLD)s in general, but it also provides a description of a model of DHT as well as some guidelines for the planification of the future research.
order not to distort the strategies arising from their treatment in the aim to derive profit. In order to achieve this, a lot of research work has been carried out companies and several platforms created. MapReduce, is one of the enabling technologies, has proven to be applicable to a wide range of fields.
However, despite its importance recent work has shown its limitations. And to remedy this, the Distributed Hash Tables (DHT) has been used. Thus, this document not only analyses the and MapReduce implementations and Top-Level Domain (TLD)s in general, but it also provides a description of a model of DHT as well as some guidelines for the planification of the future research.
Research Interests:
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications.... more
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
Research Interests:
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications.... more
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
Research Interests:
Most query languages are designed to retrieve information from databases containing precise and certain data using precisely specified commands. Due to the advancements in various kinds of data repositories in the recent years, there is a... more
Most query languages are designed to retrieve information from databases containing precise and certain
data using precisely specified commands. Due to the advancements in various kinds of data repositories
in the recent years, there is a steep increase in complex queries. Most of the complex Queries are
uncertain and vague. The existing Structured Query Language exhibits its inefficiency in handling these
complex Queries. This paper proposes a framework to handle the complexities by using fuzzy set theory.
The Fuzzy Query with linguistic hedges is converted into Crisp Query, by deploying an application layer
over the Structured Query Language.
data using precisely specified commands. Due to the advancements in various kinds of data repositories
in the recent years, there is a steep increase in complex queries. Most of the complex Queries are
uncertain and vague. The existing Structured Query Language exhibits its inefficiency in handling these
complex Queries. This paper proposes a framework to handle the complexities by using fuzzy set theory.
The Fuzzy Query with linguistic hedges is converted into Crisp Query, by deploying an application layer
over the Structured Query Language.
Research Interests:
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications.... more
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
Research Interests:
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications.... more
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
Research Interests:
Computer Science, Artificial Intelligence,Information Technology,Image Processing,Computer Engineering,Information Theory, Data Mining,Signal Processing,Digital Signal Processing, Supply Chains,Compuer Science,Managing Information... more
Computer Science, Artificial Intelligence,Information Technology,Image Processing,Computer Engineering,Information Theory,
Data Mining,Signal Processing,Digital Signal Processing,
Supply Chains,Compuer Science,Managing Information Technology,
Natural Language Computing ,Security, Privacy and Trust Management
Data Mining,Signal Processing,Digital Signal Processing,
Supply Chains,Compuer Science,Managing Information Technology,
Natural Language Computing ,Security, Privacy and Trust Management
Research Interests: Computer Science, Artificial Intelligence, Information Technology, Image Processing, Computer Engineering, and 10 moreInformation Theory, Data Mining, Signal Processing, Security, Digital Signal Processing, Supply Chains, Compuer Science, Managing Information Technology, Natural Language Computing , and Security, Privacy and Trust Management
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications.... more
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
Research Interests:
International Journal of Database Management Systems (IJDMS)
Research Interests:
Computer Science & Information Technology (CS & IT) is an open access-Computer Science Conference Proceedings (CSCP) series that publishes proceedings and post conference proceedings. The aim of this series is to preserve and disseminate... more
Computer Science & Information Technology (CS & IT) is an open access-Computer Science Conference Proceedings (CSCP) series that publishes proceedings and post conference proceedings. The aim of this series is to preserve and disseminate scientific knowledge and therefore focuses on publishing high quality papers to help the scientific community. Conference proceedings are accepted for publication in CS & IT - CSCP based on peer-review (full papers and revised short papers) that target international scientific community on the latest IT trends. Our mission is to provide the most valuable publication service.
Research Interests:
AIRCC's International Journal on Cybernetics & Informatics (IJCI) is an open access-Computer Science Conference Proceedings series that welcomes nonprofit conferences* to publish their proceedings / post conference proceedings. This... more
AIRCC's International Journal on Cybernetics & Informatics (IJCI) is an open access-Computer Science Conference Proceedings series that welcomes nonprofit conferences* to publish their proceedings / post conference proceedings. This series intends to focus on publishing high quality papers to help the scientific community furthering our goal to preserve and disseminate scientific knowledge. Conference proceedings are accepted for publication in International Journal on Cybernetics & Informatics (IJCI) based on peer-reviewed full papers and revised short papers that target international scientific community and latest Computer Science and Information Technology trends. Our mission is to provide the most valuable publication service.
Research Interests:
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications.... more
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
Research Interests:
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications.... more
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this filed and establishing new collaborations in these areas.
Research Interests:
This conference is a forum for presenting new advances and research results in the fields of Digital Image Processing. The Workshop will bring together leading researchers, engineers and scientists in the domain of interest from around... more
This conference is a forum for presenting new advances and research results in the fields of Digital Image Processing. The Workshop will bring together leading researchers, engineers and scientists in the domain of interest from around the world. The scope of the journal covers all theoretical and practical aspects of the Digital Image Processing & Pattern Recognition, from basic research to development of application.
Research Interests:
3rd International Conference on IOT, Cloud and Big Data (IOTCB 2024) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of IoT, Cloud and Big Data. It will also... more
3rd International Conference on IOT, Cloud and Big Data (IOTCB 2024) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of IoT, Cloud and Big Data. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of IoT, Cloud and Big Data.
Research Interests:
3rd International Conference on Machine Learning, NLP and Data Mining (MLDA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning, Natural... more
3rd International Conference on Machine Learning, NLP and Data Mining (MLDA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning, Natural Language Computing and Data Mining.
Research Interests: Artificial Intelligence, Computer Vision, Data Mining, Text Mining, Object Recognition (Computer Vision), and 9 moreImage Recognition (Computer Vision), Mining, NLP, Artificial General Intelligence, Philosophy of Artificial Intelligence, Arabic NLP, Big Data / Analytics / Data Mining, Natural Language Processing(NLP), and Knowledge Processing
4th International Conference on Big Data, IOT & NLP (BINLP 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Big Data, IoT and NLP. Authors are solicited to... more
4th International Conference on Big Data, IOT & NLP (BINLP 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Big Data, IoT and NLP. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Big Data, Internet of Things and NLP.
Research Interests:
5th International Conference on Big Data, Machine Learning and IoT (BMLI 2024)will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data, Machine Learning... more
5th International Conference on Big Data, Machine Learning and IoT (BMLI 2024)will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data, Machine Learning and IoT.
Research Interests: Informal Learning, E-learning, Machine Learning, Applications of Machine Learning, Statistical machine learning, and 9 moreBig Data, Internet of Things (IoT), Big Data / Analytics / Data Mining, Big Data Visualisation, Machine Learning Big Data, wireless applications with Internet of Thing (IoT) within Internet environment, IoT/M2M, Internet of Things (IoTs), and IoT Security
14th International conference on Database Management Systems (DMS 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Database Management Systems. The goal of... more
14th International conference on Database Management Systems (DMS 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Database Management Systems. The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field and establishing new collaborations in these areas.
Research Interests: Bioinformatics, Distributed Computing, Digital Libraries, Data Mining, Multimedia, and 15 moreJournalism and Information Quality, Information Security and Privacy, Information Quality, Parallel & Distributed Computing, Metadata Management, Model Management, Business Analytics, Data Mining algorithms., Big Data Analytics, Big Data / Analytics / Data Mining, 5g Technology, Computer Networks and Information Security, Job Scheduling on Grid Computing and Cloud Computing, 5G Mobile Communications, 5g Network, 5G and Networks for Big Data, and Big Data Search and Mining
3rd International Conference on Big Data, IoT and Machine Learning (BIOM 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data, Internet of... more
3rd International Conference on Big Data, IoT and Machine Learning (BIOM 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data, Internet of Things (IoT) and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data, IoT and Machine Learning. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
Research Interests:
Scope & Topics 4 th International Conference on Machine Learning Techniques and Data Science (MLDS 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine... more
Scope & Topics 4 th International Conference on Machine Learning Techniques and Data Science (MLDS 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning Techniques and Data Science. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
Research Interests: Machine Learning, Classification (Machine Learning), Applications of Machine Learning, Statistical machine learning, Automatic Classification (Machine Learning), and 6 moreMachine Learning and Pattern Recognition, MAchine Learning Algorithms, Machine Learning Model, Machine Learning Big Data, Applied Machine Learning, and Extreme Learning Machines
will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Data mining, and Data Science. The Conference looks for significant contributions to all... more
will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Data mining, and Data Science. The Conference looks for significant contributions to all major fields of the AI, Data mining, and Data Science in theoretical and practical aspects. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to:
Research Interests: Data Mining, Opinion Mining (Data Mining), Educational Data Mining, Data Mining in Bioinformatics, Financial Data Mining (Computer Science), and 6 moreData mining (Data Analysis), Distributed Data Mining, Data Warehousing and Data Mining, Privacy Preserving Data Mining, Data Mining – Concepts and Techniques, and Big Data / Analytics / Data Mining
org/bmli/index Scope 4 th International Conference on Big Data, Machine Learning and IoT (BMLI 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big... more
org/bmli/index Scope 4 th International Conference on Big Data, Machine Learning and IoT (BMLI 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data, Machine Learning and IoT. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Big Data, Machine Learning and IoT.
Research Interests:
Scope & Topics 8 th International Conference on Data Mining & Knowledge Management (DaKM 2023) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute... more
Scope & Topics 8 th International Conference on Data Mining & Knowledge Management (DaKM 2023) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
Research Interests:
org/dsml/index Scope &Topics 4 th International Conference on Data Science and Machine Learning (DSML 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas... more
org/dsml/index Scope &Topics 4 th International Conference on Data Science and Machine Learning (DSML 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Science and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Data Science and Machine Learning. Authors are solicited to contribute to the Conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the Computer Networks & Communications.
Research Interests:
org/nlpi/index Scope 4th International Conference on NLP & Information Retrieval (NLPI 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language... more
org/nlpi/index Scope 4th International Conference on NLP & Information Retrieval (NLPI 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing and Information Retrieval. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
Research Interests:
org/dmml/index Scope 4th International Conference on Data Mining & Machine Learning (DMML 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data... more
org/dmml/index Scope 4th International Conference on Data Mining & Machine Learning (DMML 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Mining and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data and Machine Learning. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Data Mining and Machine Learning.
Research Interests:
Scope 4th International Conference on Big Data, Blockchain and Security (BDBS 2023) will provide an will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big... more
Scope 4th International Conference on Big Data, Blockchain and Security (BDBS 2023) will provide an will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data and Blockchain. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data and Blockchain. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Big Data, Blockchain, and Security.
Research Interests:
2nd International Conference on Machine Learning, NLP and Data Mining (MLDA 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning, Natural... more
2nd International Conference on Machine Learning, NLP and Data Mining (MLDA 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning, Natural Language Computing and Data Mining. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
Research Interests:
9 th International Conference on Data Mining (DTMN 2023) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting... more
9 th International Conference on Data Mining (DTMN 2023) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Data mining and Applications. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences. All submissions must describe original research, not published or currently under review for another conference or journal.
Research Interests: Data Mining, Opinion Mining (Data Mining), Educational Data Mining, Data Mining in Bioinformatics, Financial Data Mining (Computer Science), and 9 moreData mining (Data Analysis), Distributed Data Mining, Data Warehousing and Data Mining, Data Stream Mining, Privacy Preserving Data Mining, Data Mining – Concepts and Techniques, Big Data / Analytics / Data Mining, Data Mining Techniques, and Data Mining and Business Intelligence
4th International Conference on Big Data & IoT (BDIoT 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Big Data and IoT. Authors are solicited to contribute... more
4th International Conference on Big Data & IoT (BDIoT 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Big Data and IoT. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Big Data, Internet of Things and advances.
Research Interests:
2nd International Conference on Machine Learning, NLP and Data Mining (MLDA 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning, Natural... more
2nd International Conference on Machine Learning, NLP and Data Mining (MLDA 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning, Natural Language Computing and Data Mining. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
Research Interests: Machine Learning, Classification (Machine Learning), Applications of Machine Learning, Statistical machine learning, Machine Learning, Natural Language Processing, and 6 moreMachine Learning and Pattern Recognition, MAchine Learning Algorithms, Statistical Modeling and Machine Learning Algorithms for Data Mining, Inference, Prediction and Classification Problems, Signal and Image Processing, Pattern Recognition, Machine learning, Feature Extraction and Classification of Biomedical signals, Brain Machine Interface (BMI), and Computational Neuroscience, Machine Learning Big Data, and Applied Machine Learning
4th International conference on Big Data, Machine learning and Applications (BIGML 2023)will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Big data and Machine... more
4th International conference on Big Data, Machine learning and Applications (BIGML 2023)will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Big data and Machine Learning. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
Research Interests:
12 th International Conference on Cryptography and Information Security (CRYPIS 2023) focuses on cutting-edge results in Applied Cryptography and Information security. It aims to bring together scientists, researchers and students to... more
12 th International Conference on Cryptography and Information Security (CRYPIS 2023) focuses on cutting-edge results in Applied Cryptography and Information security. It aims to bring together scientists, researchers and students to exchange novel ideas and results in all aspects of Cryptography, Coding and Information security. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
Research Interests:
12th International Conference on Information Technology Convergence and Services (ITCSE 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Information... more
12th International Conference on Information Technology Convergence and Services (ITCSE 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Information Technology Convergence and Services. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
Research Interests:
12th International Conference on Advanced Computer Science and Information Technology (ICAIT 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Advanced... more
12th International Conference on Advanced Computer Science and Information Technology (ICAIT 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Advanced Information Technology. The Conference looks for significant contributions to all major fields of the Computer Science and Information Technology in theoretical and practical aspects. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
Research Interests:
4th International Conference on Big Data and Applications (BDAP 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data. It will also serve to... more
4th International Conference on Big Data and Applications (BDAP 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data.
Research Interests: Data Management, Research Data Management, Database Management Systems, Big Data / Analytics / Data Mining, Data Storage Management in Cloud, and 3 moreMachine Learning/Data Mining in Healthcare Big Data, data mining and Big data analytics in science and engineering, and Data Mining with Big Data PPT
4th International Conference on Big Data and Applications (BDAP 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data. It will also serve to... more
4th International Conference on Big Data and Applications (BDAP 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
Research Interests:
The growth of Internet and other web technologies requires the development of new algorithms and architectures for parallel and distributed computing. International journal of Distributed and parallel systems is a bi monthly open access... more
The growth of Internet and other web technologies requires the development of new algorithms and architectures for parallel and distributed computing. International journal of Distributed and parallel systems is a bi monthly open access peer-reviewed journal aims to publish high quality scientific papers arising from original research and development from the international community in the areas of parallel and distributed systems. IJDPS serves as a platform for engineers and researchers to present new ideas and system technology, with an interactive and friendly, but strongly professional atmosphere.
Research Interests: Mobile Computing, Peer to Peer Networks, Resource Allocation and Interference Management, Theory of Parallel Processing and Distributed Computing, Transport Protocols and Cross-layer Optimization Techniques In Heterogeneous Wireless IP Networks, and 3 moreTask Mapping and Job Scheduling, Parallel Algorithms and their Implementation, and Network Routing and Communication Algorithms
11 th International Conference of Managing Information Technology (CMIT 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of information technology and... more
11 th International Conference of Managing Information Technology (CMIT 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of information technology and management. The Conference focuses on innovative ideas and best practices in using IT to advance organizationsforprofit, non-profit, and governmental. The goal of this conference is to bring together researchers and practitioners from academia, government and industry to focus on understanding both how to use IT to support the strategy and goals of the organization and to employ IT in new ways to foster greater collaboration, communication and information sharing both within the organization and with its stakeholders. The International Conference of Managing Information Technology seeks to establish new collaborations, new best practices, and new theories in these areas.
Research Interests: Information Communication Technology, Social Study of Information & Communication Technology, Information Technology Law, Information and Communication technology, Information Technology Management, and 3 moreComputer Science and Information Technology, Information Technology and System Integration, and International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR)
10th International Conference on Advanced Computing (ADCO 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computing. The Conference looks for significant... more
10th International Conference on Advanced Computing (ADCO 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computing. The Conference looks for significant contributions to all major fields of the Computer Science and Information Technology in theoretical and practical aspects. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
Research Interests:
9th International Conference on Data Mining and Applications (DMA 2023) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by... more
9th International Conference on Data Mining and Applications (DMA 2023) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Data mining and Applications.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to:
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to:
Research Interests:
2nd International Conference on IOT, Cloud and Big Data (IOTCB 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of IoT, Cloud and Big Data. It will also... more
2nd International Conference on IOT, Cloud and Big Data (IOTCB 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of IoT, Cloud and Big Data. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of IoT, Cloud and Big Data.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
Research Interests: Internet of Things (IoT), Big Data Infrastructure and platform, Big Data Techniques, models and algorithms, Big Data Security, Privacy and Trust, IoT-enabled Innovation and Entrepreneurship, and 4 moreIoT Applications and Services, Experimental Results and Deployment Scenarios , Electronics and Signal processing for IoT , and Big Data Search and Mining
org/dmap/index Scope & Topics 9 th International Conference on Data Mining and Applications (DMAP 2023) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to... more
org/dmap/index Scope & Topics 9 th International Conference on Data Mining and Applications (DMAP 2023) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Data mining and Applications.
Research Interests:
2 nd International Conference on IOT, Cloud and Big Data (IOTCB 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of IoT, Cloud and Big Data. It will... more
2 nd International Conference on IOT, Cloud and Big Data (IOTCB 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of IoT, Cloud and Big Data. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of IoT, Cloud and Big Data.
Research Interests:
org/wimo/index Scope 15 th International Conference on Wireless & Mobile Network (WiMo 2023) is dedicated to addressing the challenges in the areas of wireless & mobile networks. The Conference looks for significant contributions to the... more
org/wimo/index Scope 15 th International Conference on Wireless & Mobile Network (WiMo 2023) is dedicated to addressing the challenges in the areas of wireless & mobile networks. The Conference looks for significant contributions to the Wireless and Mobile computing in theoretical and practical aspects. The Wireless and Mobile computing domain emerges from the integration among personal computing, networks, communication technologies, cellular technology, and the Internet Technology. The modern applications are emerging in the area of mobile ad hoc networks and sensor networks. This Conference is intended to cover contributions in both the design and analysis in the context of mobile, wireless, ad-hoc, and sensor networks. The goal of this Conference is to bring together researchers and practitioners from academia and industry to focus on advanced wireless and Mobile computing concepts and establishing new collaborations in these areas. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
Research Interests:
9 th International Conference on Data Mining (DTMN 2023) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting... more
9 th International Conference on Data Mining (DTMN 2023) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Data mining and Applications. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences. All submissions must describe original research, not published or currently under review for another conference or journal.
Research Interests: Data Mining, Opinion Mining (Data Mining), Educational Data Mining, Data Mining in Bioinformatics, Financial Data Mining (Computer Science), and 5 moreData mining (Data Analysis), Distributed Data Mining, Data Warehousing and Data Mining, Privacy Preserving Data Mining, and Big Data / Analytics / Data Mining
org/se/index Scope 11th International Conference on Software Engineering & Trends (SE 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Software Engineering.... more
org/se/index Scope 11th International Conference on Software Engineering & Trends (SE 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Software Engineering. The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts and establishing new collaborations in these areas.
Research Interests:
2 nd International Conference on Machine Learning, NLP and Data Mining (MLDA 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning, Natural... more
2 nd International Conference on Machine Learning, NLP and Data Mining (MLDA 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning, Natural Language Computing and Data Mining. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
Research Interests: Machine Learning, Classification (Machine Learning), Applications of Machine Learning, Statistical machine learning, Automatic Classification (Machine Learning), and 6 moreMachine Learning and Pattern Recognition, MAchine Learning Algorithms, Signal and Image Processing, Pattern Recognition, Machine learning, Feature Extraction and Classification of Biomedical signals, Brain Machine Interface (BMI), and Computational Neuroscience, Machine Learning Big Data, Applied Machine Learning, and Extreme Learning Machines
Scope 9th International Conference on Computer Science, Engineering and Information Technology (CSITY 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of... more
Scope
9th International Conference on Computer Science, Engineering and Information Technology (CSITY 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Engineering and Information Technology. The Conference looks for significant contributions to all major fields of the Computer Science, Engineering and Information Technology in theoretical and practical aspects. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
9th International Conference on Computer Science, Engineering and Information Technology (CSITY 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Engineering and Information Technology. The Conference looks for significant contributions to all major fields of the Computer Science, Engineering and Information Technology in theoretical and practical aspects. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
Research Interests: Computer Science, Software Engineering, Information Technology, Natural Language Processing, Data Mining, and 11 moreDatabase Systems, Social Networking, Software Engineering education, Modeling and Simulation, Wireless Networks (Computer Science), Networking, Cloud Computing, Computer and Information Technology, Compiler Design, Computer Science Engineering, and Computer Science and Engineering
Conference provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results,... more
Conference provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
Research Interests: Mining Engineering, Computer Science, Computer Engineering, Data Mining, Database Systems, and 14 moreSocial Networking, Data Analysis, Computer Networks, Web Mining, Text Mining, Mining, Networking, Databases, Graph Data Mining, Data Warehousing and Data Mining, Data Structures, Pemrograman Database, Big Data / Analytics / Data Mining, and Web Mining and Cloud Computing
4th International Conference on NLP & Big Data (NLPD 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing and Big data.
Research Interests:
11th International Conference on Software Engineering & Trends (SE 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Software Engineering. The goal of this... more
11th International Conference on Software Engineering & Trends (SE 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Software Engineering. The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding
Modern software engineering concepts and establishing new collaborations in these areas
Modern software engineering concepts and establishing new collaborations in these areas
Research Interests:
9th International Conference on Data Mining and Applications (DMA 2023) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by... more
9th International Conference on Data Mining and Applications (DMA 2023) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Data mining and Applications.
Research Interests:
3rd International Conference on Advances in Computing & Information Technologies (CACIT 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computing and... more
3rd International Conference on Advances in Computing & Information Technologies (CACIT 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computing and Information Technology Trends. The Conference looks for significant contributions to all major fields of the Computing and Information Technologies.
4th International Conference on Big Data, Machine Learning and IoT (BMLI 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data, Machine Learning and IoT.
4th International Conference on Big Data, Machine Learning and IoT (BMLI 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data, Machine Learning and IoT.
Research Interests: Distributed Computing, Grid Computing, Computing, Mobile Computing, Cloud Computing, and 15 moreBig Data, Big Data Analytics, Big Data / Analytics / Data Mining, Big Data Visualisation, Social Network Analysis Big Data, Machine Learning Big Data, Big Data Technologies, Cloud Computing and Virtualization, Big Data Security, Big data analysis, Big Data In Healthcare, Big Data Applications, Application of Big Data, Cloud Big Data Algorithms Data Structure, and Big Data Ethics
4th International Conference on Big Data (CBDA 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data. It will also serve to facilitate the... more
4th International Conference on Big Data (CBDA 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data.
Research Interests:
4th International Conference on Computational Science and Engineering (DSCC 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Science, Cloud... more
4th International Conference on Computational Science and Engineering (DSCC 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Science, Cloud Computing and Applications. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Data Science, Cloud Computing & Applications.
Research Interests:
International Conference on Managing Value, Supply Chains and Public Sector Information Technology (MVSCIT 2023) provides a platform to disseminate new ideas and new research, advance theories, and propagate best practices in the... more
International Conference on Managing Value, Supply Chains and Public Sector Information Technology (MVSCIT 2023) provides a platform to disseminate new ideas and new research, advance theories, and propagate best practices in the management of value, supply chain managementand Public Sector Information Technology, looking across both product and service-based businesses. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of value and supply chain management.
Research Interests:
org/bmli/index Scope 4 th International Conference on Big Data, Machine Learning and IoT (BMLI 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big... more
org/bmli/index Scope 4 th International Conference on Big Data, Machine Learning and IoT (BMLI 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data, Machine Learning and IoT. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Big Data, Machine Learning and IoT.
Research Interests: Machine Learning, Applications of Machine Learning, Statistical machine learning, Big Data, Internet of Things (IoT), and 14 moreBig Data Analytics, Big Data / Analytics / Data Mining, Big Data Visualisation, Modified IOTN, Machine Learning Big Data, Big Data Technologies, Big Data Security, Application of Big Data, IoT/M2M, Internet of Things (IoTs), Big Data Ethics, Sensor Networks and IoT, IoT Security, and IOT Mining Tracking
International Conference on Data Mining, Big Data and Machine Learning (DBML 2023) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum.
Research Interests:
10th International Conference on Data Mining and Database (DMDB 2023) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by... more
10th International Conference on Data Mining and Database (DMDB 2023) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only
Research Interests:
3rd International Conference on IOT, Big Data and Security (IOTBS 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of IOT, Big Data and Security. It... more
3rd International Conference on IOT, Big Data and Security (IOTBS 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of IOT, Big Data and Security. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of IoT, Big Data and Security.
Research Interests:
10 th International Conference on Data Mining and Database (DMDB 2023) provides a forumfor researchers who address this issue and to present their work in a peer-reviewed forum.Authors are solicited to contribute to the conference by... more
10
th
International Conference on Data Mining and Database (DMDB 2023)
provides a forumfor researchers who address this issue and to present their work in a peer-reviewed forum.Authors are solicited to contribute to the conference by submitting articles that illustrate researchresults, projects, surveying works and industrial experiences that describe significant advances inthe following areas, but are not limited to these topics only.
th
International Conference on Data Mining and Database (DMDB 2023)
provides a forumfor researchers who address this issue and to present their work in a peer-reviewed forum.Authors are solicited to contribute to the conference by submitting articles that illustrate researchresults, projects, surveying works and industrial experiences that describe significant advances inthe following areas, but are not limited to these topics only.