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ORCIDLena Wiese
Person information
- affiliation: Fraunhofer Institute for Toxicology and Experimental Medicine (ITEM), Hannover, Germany
- affiliation: Goethe University Frankfurt, Institute for Computer Science, Germany
- affiliation: Georg August University Göttingen, Institute of Computer Science, Germany
- affiliation (PhD 2009): TU Dortmund, Department of Computer Science, Germany
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2020 – today
- 2024
[j20]Ahmed I. A. Al-Ghezi, Lena Wiese:
Analyzing workload trends for boosting triple stores performance. Inf. Syst. 125: 102420 (2024)- [j19]Asad R. Usmani
, Lena Wiese:
Modelling for Efficient Scientific Data Storage Using Simple Graphs in DNA. SN Comput. Sci. 5(4): 388 (2024) - [j18]Chimi Wangmo, Lena Wiese:
An Experimental Evaluation of Summarisation-Based Frequent Subgraph Mining for Subgraph Searching. SN Comput. Sci. 5(6): 693 (2024) - [c75]Mohan Xu, Susann Dehmel, Lena Wiese:
Comparing Image Segmentation Neural Networks for the Analysis of Precision Cut Lung Slices. Bildverarbeitung für die Medizin 2024: 338-343 - [c74]Wenhui Ya, Lena Wiese, Ahmed I. A. Al-Ghezi:
UniPart: Optimizing Streaming Graph Partitioning Towards Universal Adaption in RDF Triple Stores. SEMANTICS 2024: 311-326 - [c73]Vanessa Meyer, Lena Wiese, Ahmed I. A. Al-Ghezi:
An Information System for Training Assessment in Sports Analytics. ICEIS (1) 2024: 149-160 - [c72]Vanessa Meyer, Lena Wiese, Ahmed I. A. Al-Ghezi:
A Unified Teaching Platform for (No)SQL Databases. ICEIS (1) 2024: 374-381 - 2023
- [j17]Asad R. Usmani, Lena Wiese:
DNA-Based Storage of RDF Graph Data: A Futuristic Approach to Data Analytics. IEEE Access 11: 129931-129944 (2023) - [j16]Kristina Lietz, Babak Saremi, Lena Wiese:
Genealyzer: web application for the analysis and comparison of gene expression data. BMC Bioinform. 24(1): 150 (2023) - [c71]Pronaya Prosun Das, Lena Wiese:
Explainability Based on Feature Importance for Better Comprehension of Machine Learning in Healthcare. ADBIS (Short Papers) 2023: 324-335 - [c70]Chiara Tappermann, Mohan Xu, Lena Wiese, Babak Saremi:
Development of an End-to-End Web Application for Visualization, Evaluation, and Post-processing of Result Data from Neural Network Predictions for the Melanoma Use Case. ICWE Workshops 2023: 131-144 - [c69]Mohan Xu, Lena Wiese:
Application and Performance Improvement of Transfer Learning on ICBHI Lung Sound Dataset. IntelliSys (1) 2023: 156-173 - [c68]Pronaya Prosun Das, Despina Tawadros, Lena Wiese:
Privacy-Preserving Medical Data Generation Using Adversarial Learning. ISC 2023: 24-41 - [c67]Chimi Wangmo, Lena Wiese:
SuMExplorer: Summarisation-based Frequent Subgraph Mining for Visual Exploratory Subgraph Searching. LWDA 2023: 110-120 - 2022
- [j15]Jero Mario Schäfer, Ming Tang, Danny Luu, Anke Bergmann, Lena Wiese:
Graph4Med: a web application and a graph database for visualizing and analyzing medical databases. BMC Bioinform. 23(1): 537 (2022) - [c66]Jero Mario Schäfer, Lena Wiese:
Clustering-Based Subgroup Detection for Automated Fairness Analysis. ADBIS (Short Papers) 2022: 45-55 - [c65]Ahmed I. A. Al-Ghezi, Lena Wiese:
Analysing Workload Trends for Boosting Triple Stores Performance. ADBIS 2022: 285-298 - [c64]Chimi Wangmo, Lena Wiese:
SubTempora: A Hybrid Approach for Optimising Subgraph Searching. DATA (Revised Selected Papers) 2022: 66-89 - [c63]Asad R. Usmani, Lena Wiese:
Modelling of Efficient Graph-aware Data Storage using DNA. DATA 2022: 180-189 - [c62]Chimi Wangmo, Lena Wiese:
Efficient Subgraph Indexing for Biochemical Graphs. DATA 2022: 533-540 - [c61]Jero Schäfer, Lena Wiese:
ASDF-Dashboard: Automated Subgroup Detection and Fairness Analysis. LWDA 2022: 45-56 - [c60]Shokofeh VahidianSadegh, Lena Wiese, Michael Brenner:
SeCCA: Towards Privacy-Preserving Biclustering Algorithm with Homomorphic Encryptions. Privacy and Identity Management 2022: 198-213 - 2021
- [j14]Lena Wiese, Aboubakr Benabbas, Golnaz Elmamooz, Daniela Nicklas:
One DB Does Not Fit It All: Teaching the Differences in Advanced Database Systems. Datenbank-Spektrum 21(2): 83-89 (2021) - [c59]Rufat Babayev, Lena Wiese:
Interpreting Decision-Making Process for Multivariate Time Series Classification. ADBIS (Short Papers) 2021: 146-152 - [c58]Ahmed I. A. Al-Ghezi, Lena Wiese:
Universal Storage Adaption for Distributed RDF-Triple Stores. DaWaK 2021: 97-108 - [c57]Rufat Babayev, Lena Wiese:
Benchmarking Multi-instance Learning for Multivariate Time Series Analysis. Poly/DMAH@VLDB 2021: 103-120 - [c56]Christian Steinmeyer, Susann Dehmel, David Theidel, Armin Braun, Lena Wiese:
Automating Bronchoconstriction Analysis based on U-Net. EDBT/ICDT Workshops 2021 - [c55]Marcel Mast, Michael Marschollek, Louisa Bode, Antje Wulff, Sven Schamer, Henning Rathert, Thomas Jack, Philipp Beerbaum, Nicole Rübsamen, Julia Böhnke, André Karch, Pronaya Prosun, Lena Wiese, Christian Groszewski-Anders, Andreas Haller, Mathias Slawik, Torsten Frank:
Developing a Data Driven Approach for Early Detection of SIRS in Pediatric Intensive Care Using Automatically Labeled Training Data. ICIMTH 2021: 228-231 - [c54]Lena Wiese, Ingmar Wiese, Kristina Lietz:
Software Quality Assessment of a Web Application for Biomedical Data Analysis. IDEAS 2021: 84-93 - [c53]Lena Wiese, Deborah Höltje:
NNCompare: a framework for dataset selection, data augmentation and comparison of different neural networks for medical image analysis. DEEM@SIGMOD 2021: 6:1-6:7 - 2020
- [j13]Lena Wiese, Tim Waage, Michael Brenner:
CloudDBGuard: A framework for encrypted data storage in NoSQL wide column stores. Data Knowl. Eng. 126: 101732 (2020) - [j12]Guryash Bahra, Lena Wiese:
Parameterizing neural networks for disease classification. Expert Syst. J. Knowl. Eng. 37(1) (2020) - [j11]Christian Steinmeyer, Lena Wiese:
Sampling methods and feature selection for mortality prediction with neural networks. J. Biomed. Informatics 111: 103580 (2020) - [c52]Jero Mario Schäfer, Ulrich Sax, Lena Wiese:
Benchmarking a distributed database design that supports patient cohort identification. IDEAS 2020: 18:1-18:8 - [c51]Jero Mario Schäfer, Lena Wiese:
A Comparison of Two Database Partitioning Approaches that Support Taxonomy-Based Query Answering. iiWAS 2020: 426-435
2010 – 2019
- 2019
- [j10]Joachim Biskup, Christine Dahn, Katharina Diekmann, Ralf Menzel, Dirk Schalge, Lena Wiese:
Publishing inference-proof relational data: An implementation and experiments. Data Knowl. Eng. 120: 1-44 (2019) - [j9]Ingmar Wiese, Nicole Sarna, Lena Wiese, Araek Tashkandi, Ulrich Sax:
Concept acquisition and improved in-database similarity analysis for medical data. Distributed Parallel Databases 37(2): 297-321 (2019) - [j8]Daniel Homann, Lena Wiese:
Inference Attacks on Fuzzy Searchable Encryption Schemes. Trans. Data Priv. 12(2): 91-115 (2019) - [c50]Lena Wiese:
Data Analytics with Graph Algorithms - A Hands-on Tutorial with Neo4J. BTW (Workshops) 2019: 259-261 - [c49]Christin Seifert, Stefanie Scherzinger, Lena Wiese:
Towards Generating Consumer Labels for Machine Learning Models. CogMI 2019: 173-179 - [c48]Stefanie Scherzinger, Christin Seifert, Lena Wiese:
The Best of Both Worlds: Challenges in Linking Provenance and Explainability in Distributed Machine Learning. ICDCS 2019: 1620-1629 - [c47]Araek Tashkandi, Lena Wiese:
A Hybrid Machine Learning Approach for Improving Mortality Risk Prediction on Imbalanced Data. iiWAS 2019: 83-92 - [c46]Triet Doan, Lena Wiese, Sven Bingert, Ramin Yahyapour:
A Graph Database for Persistent Identifiers. LWDA 2019: 1-5 - [c45]Ahmed I. A. Al-Ghezi, Lena Wiese:
UniAdapt: universal adaption of replication and indexes in distributed RDF triples stores. SBD@SIGMOD 2019: 2:1-2:6 - [r1]Lena Wiese, Armin Otto Schmitt, Mehmet Gültas:
Big Data Technologies for DNA Sequencing. Encyclopedia of Big Data Technologies 2019 - [d4]Triet Doan, Lena Wiese, Sven Bingert, Ramin Yahyapour:
LWDA 2019 Poster. 1.0. GRO.data, 2019 [all versions]
- [d3]Triet Doan, Lena Wiese, Sven Bingert, Ramin Yahyapour:
LWDA 2019 Poster. 2.0. GRO.data, 2019 [all versions] - [d2]Triet Doan, Lena Wiese, Sven Bingert, Ramin Yahyapour:
LWDA 2019 Poster. 3.0. GRO.data, 2019 [all versions] - [d1]Triet Doan, Lena Wiese, Sven Bingert, Ramin Yahyapour:
LWDA 2019 Poster. 4.0. GRO.data, 2019 [all versions] - 2018
- [j7]Araek Tashkandi, Ingmar Wiese, Lena Wiese:
Efficient In-Database Patient Similarity Analysis for Personalized Medical Decision Support Systems. Big Data Res. 13: 52-64 (2018) - [j6]Ferdinand Bollwein, Lena Wiese:
Keeping Secrets by Separation of Duties While Minimizing the Amount of Cloud Servers. Trans. Large Scale Data Knowl. Centered Syst. 37: 1-40 (2018) - [c44]Tim Waage, Lena Wiese:
CloudDBGuard: Enabling Sorting and Searching on Encrypted Data in NoSQL Cloud Databases. DaWaK 2018: 261-270 - [c43]Ahmed I. A. Al-Ghezi, Lena Wiese:
Adaptive Workload-Based Partitioning and Replication for RDF Graphs. DEXA (2) 2018: 250-258 - [c42]Ahmed I. A. Al-Ghezi, Lena Wiese:
Space-Adaptive and Workload-Aware Replication and Partitioning for Distributed RDF Triple Stores. DEXA Workshops 2018: 65-75 - [c41]Guryash Bahra, Lena Wiese:
Classifying Leukemia and Gout Patients with Neural Networks. DEXA Workshops 2018: 150-160 - [c40]Lena Wiese, Chimi Wangmo, Lukas Steuernagel, Armin Otto Schmitt, Mehmet Gültas:
Construction and Visualization of Dynamic Biological Networks: Benchmarking the Neo4J Graph Database. DILS 2018: 33-43 - [c39]Lena Wiese, Daniel Homann, Tim Waage, Michael Brenner:
Homomorphe Verschlüsselung für Cloud-Datenbanken: Übersicht und Anforderungsanalyse. Sicherheit 2018: 221-234 - [c38]Ferdinand Bollwein, Lena Wiese:
On the Hardness of Separation of Duties Problems for Cloud Databases. TrustBus 2018: 23-38 - 2017
- [j5]Lena Wiese, Tim Waage, Ferdinand Bollwein:
A Replication Scheme for Multiple Fragmentations with Overlapping Fragments. Comput. J. 60(3): 308-328 (2017) - [c37]Ferdinand Bollwein, Lena Wiese:
Closeness Constraints for Separation of Duties in Cloud Databases as an Optimization Problem. BICOD 2017: 133-145 - [c36]Benjamin Klöpper, Lena Wiese:
BigBIA17 - Vorwort. BTW (Workshops) 2017: 23-24 - [c35]Araek Tashkandi, Lena Wiese, Marcus Baum:
Comparative Evaluation for Recommender Systems for Book Recommendations. BTW (Workshops) 2017: 291-300 - [c34]Lena Wiese:
Flexible Query Answering with the powerset-AI Operator and Star-Based Ranking. FQAS 2017: 36-48 - [c33]Ahmed I. A. Al-Ghezi, Lena Wiese:
Distributed Storage-Adaptable RDF Graph Store Over Cloud Infrastructure. Grundlagen von Datenbanken 2017: 19-23 - [c32]Christian Göge, Tim Waage, Lena Wiese:
Implementing a Similarity Searchable Encryption Scheme for Cloud Database Usage. Grundlagen von Datenbanken 2017: 48-53 - [c31]Ferdinand Bollwein, Lena Wiese:
Separation of Duties for Multiple Relations in Cloud Databases as an Optimization Problem. IDEAS 2017: 98-107 - [c30]Tim Waage, Lena Wiese:
Property Preserving Encryption in NoSQL Wide Column Stores. OTM Conferences (2) 2017: 3-21 - [c29]Daniel Homann, Christian Göge, Lena Wiese:
Dynamic Similarity Search over Encrypted Data with Low Leakage. STM 2017: 19-35 - [c28]Christian Göge, Tim Waage, Daniel Homann, Lena Wiese:
Improving Fuzzy Searchable Encryption with Direct Bigram Embedding. TrustBus 2017: 115-129 - 2016
- [j4]Tim Waage, Lena Wiese:
Implementierung von kryptographischen Sicherheitsverfahren für Apache Cassandra und Apache HBase. HMD Prax. Wirtsch. 53(4): 499-513 (2016) - [c27]Ferdinand Bollwein, Lena Wiese:
Ein Replikationsschema für multiple Fragmentierungen mit überlappenden Fragmenten. GvD 2016: 33-38 - [c26]Tim Waage, Daniel Homann, Lena Wiese:
Practical Application of Order-preserving Encryption in Wide Column Stores. SECRYPT 2016: 352-359 - [e1]Lena Wiese, Hendrik Bitzmann, Tim Waage:
Proceedings of the 28th GI-Workshop Grundlagen von Datenbanken, Nörten Hardenberg, Germany, May 24-27, 2016. CEUR Workshop Proceedings 1594, CEUR-WS.org 2016 [contents] - 2015
- [b2]Lena Wiese:
Advanced Data Management for SQL, NoSQL, Cloud and Distributed Databases. DeGruyter 2015, ISBN 978-3-11-044140-6, pp. 1-408 - [c25]Lena Wiese:
Horizontal Fragmentation and Replication for Multiple Relaxation Attributes. BICOD 2015: 157-169 - [c24]Lena Wiese:
Ontology-Driven Data Partitioning and Recovery for Flexible Query Answering. DEXA (2) 2015: 177-191 - [c23]Araek Tashkandi, Lena Wiese:
Enhanced Processing of METS/MODS Library Metadata in CouchDB. DEXA Workshops 2015: 240-244 - [c22]Tim Waage, Ramaninder Singh Jhajj, Lena Wiese:
Searchable Encryption in Apache Cassandra. FPS 2015: 286-293 - [c21]Lena Wiese:
Ontologie-basierte Fragmentierungs- und Replikationsverfahren für verteilte Datenbanksysteme. GvD 2015: 12-17 - [c20]Lena Wiese:
Polyglot Database Architectures = Polyglot Challenges. LWA 2015: 422-426 - 2014
- [j3]Lena Wiese:
Clustering-based fragmentation and data replication for flexible query answering in distributed databases. J. Cloud Comput. 3: 18 (2014) - [c19]Tim Waage, Lena Wiese:
Benchmarking Encrypted Data Storage in HBase and Cassandra with YCSB. FPS 2014: 311-325 - 2013
- [c18]Maheen Bakhtyar, Lena Wiese, Katsumi Inoue, Nam Dang:
Filtering of Unrelated Answers in a CooperativeQuery Answering System. DaEng 2013: 461-470 - [c17]Lena Wiese:
Syntactic Similarity for Ranking Database Answers Obtained by Anti-Instantiation. KI 2013: 300-303 - [c16]Lena Wiese:
Taxonomy-Based Fragmentation for Anti-instantiation in Distributed Databases. UCC 2013: 363-368 - 2012
- [c15]Maheen Bakhtyar, Nam Dang, Katsumi Inoue, Lena Wiese:
Implementing Inductive Concept Learning For Cooperative Query Answering. GfKl 2012: 127-134 - [c14]Lucie Urbanova, Vilém Vychodil, Lena Wiese:
Applications of Ordinal Ranks to Flexible Query Answering. SUM 2012: 16-29 - [i2]Lena Wiese:
Enhancing Algebraic Query Relaxation with Semantic Similarity. CoRR abs/1210.6242 (2012) - 2011
- [j2]Joachim Biskup, Lena Wiese:
A sound and complete model-generation procedure for consistent and confidentiality-preserving databases. Theor. Comput. Sci. 412(31): 4044-4072 (2011) - [c13]Katsumi Inoue, Lena Wiese:
Generalizing Conjunctive Queries for Informative Answers. FQAS 2011: 1-12 - [c12]Katsumi Inoue, Chiaki Sakama, Lena Wiese:
Confidentiality-Preserving Publishing of EDPs for Credulous and Skeptical Users. INAP/WLP 2011: 134-151 - [c11]Joachim Biskup, Marcel Preuß, Lena Wiese:
On the Inference-Proofness of Database Fragmentation Satisfying Confidentiality Constraints. ISC 2011: 246-261 - [i1]Katsumi Inoue, Chiaki Sakama, Lena Wiese:
Confidentiality-Preserving Data Publishing for Credulous Users by Extended Abduction. CoRR abs/1108.5825 (2011) - 2010
- [c10]Joachim Biskup, Cornelia Tadros, Lena Wiese:
Towards Controlled Query Evaluation for Incomplete First-Order Databases. FoIKS 2010: 230-247 - [c9]Lena Wiese:
Keeping Secrets in Possibilistic Knowledge Bases with Necessity-Valued Privacy Policies. IPMU 2010: 655-664 - [c8]Lena Wiese:
Horizontal Fragmentation for Data Outsourcing with Formula-Based Confidentiality Constraints. IWSEC 2010: 101-116
2000 – 2009
- 2009
- [b1]Lena Wiese:
Preprocessing for controlled query evaluation in complete first-order databases. Dortmund University of Technology, 2009 - [c7]Cornelia Tadros, Lena Wiese:
Using SAT-Solvers to Compute Inference-Proof Database Instances. DPM/SETOP 2009: 65-77 - [c6]Joachim Biskup, Lena Wiese:
Combining Consistency and Confidentiality Requirements in First-Order Databases. ISC 2009: 121-134 - 2008
- [j1]Joachim Biskup, Lena Wiese:
Preprocessing for controlled query evaluation with availability policy. J. Comput. Secur. 16(4): 477-494 (2008) - [c5]Tobias Rodenbach, Lena Wiese:
Change Propagation with the Change Notification Bus. Software Engineering (Workshops) 2008: 165-170 - 2007
- [c4]Joachim Biskup, Christian Tsatedem, Lena Wiese:
Secure Mediation of Join Queries by Processing Ciphertexts. ICDE Workshops 2007: 715-724 - [c3]Joachim Biskup, Dominique Marc Burgard, Torben Weibert, Lena Wiese:
Inference Control in Logic Databases as a Constraint Satisfaction Problem. ICISS 2007: 128-142 - 2006
- [c2]Joachim Biskup, Lena Wiese:
On Finding an Inference-Proof Complete Database for Controlled Query Evaluation. DBSec 2006: 30-43 - 2005
- [c1]Joachim Biskup, Barbara Sprick, Lena Wiese:
Secure Mediation with Mobile Code. DBSec 2005: 267-280
Coauthor Index
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last updated on 2024-10-25 20:15 CEST by the dblp team
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