Knowledge management and organizational learning, 2016
One of the consequences of the changing regulatory social and economic environment is the growing... more One of the consequences of the changing regulatory social and economic environment is the growing demand to efficiently manage intellectual capital as corporate assets. Intellectual capital is closely coupled to knowledge that is embedded in business processes. The book provides an overview in a nutshell of ProKEX research. The goal of the ProKEX solution is to extract, organize, share and preserve knowledge embedded in organizational processes in order to (1) enrich organizational knowledge bases in a systematic and controlled way (2) support employees to be better able to acquire their job role specific knowledge, (3) and to help govern and plan human capital investment. The chapters provides deeper understanding the components, as semantic business process management, text mining, knowledge representation and transfer, adaptive testing, compliance checking.
Mobile penetration rate is high, so m-government services have a huge potential to spread. Our re... more Mobile penetration rate is high, so m-government services have a huge potential to spread. Our research aims to investigate how elderly users profit from m-government. Europe is now and will be in 2060 the oldest continent in the world, so elderly is an important target group for future m-government services. There are several m-government initiatives and projects offering various government services, like information sharing, alerting and mHealth services, which provide mobile remote patient monitoring in order to measure vital signs, bio-signals of patients outside hospital environments. Such systems can strongly benefit from improved acceptance by elderly users; therefore, investigation of social and psychological aspects of mobile adoption is an emerging field of research. The goal of our research is to find a way to map the needs of the elderly and set guidelines for the design of m-government systems. We apply IGUAN framework [11] for usability investigation, which we developed, in our earlier research as a guideline for improving the usability of e-government systems. We constructed a scenario in usability investigation, a search for medical treatment. Our research follows a user-driven method and uses the data acquired on usability of m-government by the elderly from Germany and Hungary. The main contribution of this paper is the assessment of the requirements for m-government systems’ development for elderly, by investigating the factors, which lead to a low acceptance of m-government by this group.
Knowledge management and organizational learning, 2016
Due to the on-going economic crisis, the management of organizational knowledge is becoming more ... more Due to the on-going economic crisis, the management of organizational knowledge is becoming more and more important. This knowledge resides in organizational processes. The extraction of this hidden knowledge from the business processes and the usage of this knowledge for domain ontology development is a major challenge. This chapter presents ProMine, a text mining ontology extraction tool that extracts deep representations from the business processes. ProMine extracts new domain related concepts and proposes a new filtering mechanism based on a new hybrid similarity measure to filter most relevant concepts. The tool is evaluated through a case study of the insurance domain. The results showed that ProMine performance is good and it generates many new concepts against each business process.
Knowledge management and organizational learning, 2016
One of the consequences of the changing regulatory social and economic environment is the growing... more One of the consequences of the changing regulatory social and economic environment is the growing demand to efficiently manage intellectual capital as corporate assets. Intellectual capital is closely coupled to knowledge that is embedded in business processes. The book provides an overview in a nutshell of ProKEX research. The goal of the ProKEX solution is to extract, organize, share and preserve knowledge embedded in organizational processes in order to (1) enrich organizational knowledge bases in a systematic and controlled way (2) support employees to be better able to acquire their job role specific knowledge, (3) and to help govern and plan human capital investment. The chapters provides deeper understanding the components, as semantic business process management, text mining, knowledge representation and transfer, adaptive testing, compliance checking.
Mobile penetration rate is high, so m-government services have a huge potential to spread. Our re... more Mobile penetration rate is high, so m-government services have a huge potential to spread. Our research aims to investigate how elderly users profit from m-government. Europe is now and will be in 2060 the oldest continent in the world, so elderly is an important target group for future m-government services. There are several m-government initiatives and projects offering various government services, like information sharing, alerting and mHealth services, which provide mobile remote patient monitoring in order to measure vital signs, bio-signals of patients outside hospital environments. Such systems can strongly benefit from improved acceptance by elderly users; therefore, investigation of social and psychological aspects of mobile adoption is an emerging field of research. The goal of our research is to find a way to map the needs of the elderly and set guidelines for the design of m-government systems. We apply IGUAN framework [11] for usability investigation, which we developed, in our earlier research as a guideline for improving the usability of e-government systems. We constructed a scenario in usability investigation, a search for medical treatment. Our research follows a user-driven method and uses the data acquired on usability of m-government by the elderly from Germany and Hungary. The main contribution of this paper is the assessment of the requirements for m-government systems’ development for elderly, by investigating the factors, which lead to a low acceptance of m-government by this group.
Knowledge management and organizational learning, 2016
Due to the on-going economic crisis, the management of organizational knowledge is becoming more ... more Due to the on-going economic crisis, the management of organizational knowledge is becoming more and more important. This knowledge resides in organizational processes. The extraction of this hidden knowledge from the business processes and the usage of this knowledge for domain ontology development is a major challenge. This chapter presents ProMine, a text mining ontology extraction tool that extracts deep representations from the business processes. ProMine extracts new domain related concepts and proposes a new filtering mechanism based on a new hybrid similarity measure to filter most relevant concepts. The tool is evaluated through a case study of the insurance domain. The results showed that ProMine performance is good and it generates many new concepts against each business process.
Journal of Artificial Intelligence and Soft Computing Research, 2021
Security threats, among other intrusions affecting the availability, confidentiality and integrit... more Security threats, among other intrusions affecting the availability, confidentiality and integrity of IT resources and services, are spreading fast and can cause serious harm to organizations. Intrusion detection has a key role in capturing intrusions. In particular, the application of machine learning methods in this area can enrich the intrusion detection efficiency. Various methods, such as pattern recognition from event logs, can be applied in intrusion detection. The main goal of our research is to present a possible intrusion detection approach using recent machine learning techniques. In this paper, we suggest and evaluate the usage of stacked ensembles consisting of neural network (SNN) and autoen-coder (AE) models augmented with a tree-structured Parzen estimator hyperparameter optimization approach for intrusion detection. The main contribution of our work is the application of advanced hyperparameter optimization and stacked ensembles together. We conducted several experi...
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