RESEARCH GROUP

DATABASES AND

SOFTWARE ENGINEERING

2024

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• Bala Gurumurthy, Vasudev Raghavendra Bidarkar, David Broneske, Thilo Pionteck, and Gunter Saake. Exploiting Shared Sub-Expression and Materialized View Reuse for Multi-Query Optimization. In Journal of Information System Frontiers, June 2024. accepted.
   
• Rahul Mondal, Evelina Ignatova, Daniel Walke, David Broneske, Gunter Saake, and Robert Heyer. Clustering graph data: the roadmap to spectral techniques. Discover Artificial Intelligence, January 2024. (PDF)
   
• Mustafa N Abbas, A Attea Bara’a, David Broneske, and Gunter Saake. An evolutionary algorithm with heuristic operator for detecting protein complexes in protein interaction networks with negative controls. IEEE Access, 2024.
   
• Mohamad F Enaya, Thomas Klingbeil, Jacob Krüger, David Broneske, Frank Feinbube, and Gunter Saake. A Case Study on the Development of the German Corona-Warn-App. In Journal of Systems and Software. Elsevier, 2024.
   
• Sadeq Darrab, Florian Kleinert, David Broneske, and Gunter Saake. Exploring the Advantages and Limitations of Association Rule Mining and Decision Trees for Pattern Mining in Heart Disease Data. The 20th International Conference on Advanced Data Mining and Applications (ADMA2024), Springer, June 2024. accepted.
   
• Sajad Karim, Johannes Wünsche, David Broneske, Michael Kuhn, and Gunter Saake. A Design Proposal for a Unified B-epsilon-tree: Embracing NVM in Memory Hierarchies. In Uta Störl, editor, Proceedings of the 35th GI-Workshop Grundlagen von Datenbanken, Herdecke, Germany, May 22-24, 2024, volume 3710 of CEUR Workshop Proceedings, pages 43–50. CEUR-WS.org, 2024.
   
• Chukwuka Victor Obionwu, Bhavya Baburaj Chovatta Valappil, Minu Genty, Maria Jomy, Visakh Padmanabhan, Sumat Singh Bedi Aishwarya Suresh, David Broneske, and Gunter Saake. Expert Agent Guided Learning with Transformers and Knowledge Graphs. volume Volume 1, pages 180–189. Proceedings of the 13th International Conference on Data Science, Technology and Applications DATA, scitepress, June 2024.
   
• Sadeq Darrab, David Broneske, and Gunter Saake. Exploring the Predictive Factors of Heart Disease using Rare Association Rule Mining. Scientific Reports - Nature, July 2024.
   

2023

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• Bala Gurumurthy, Vasudev Raghavendra Bidarkar, David Broneske, Thilo Pionteck, and Gunter Saake. What Happens When Two Multi-Query Optimization Paradigms Combine?. In Advances in Databases and Information Systems, September 2023.
   
• Chukwuka Victor Obionwu, Kalu Oji Kalu, Paul Blockhaus, David Broneske, and Gunter Saake. A Strategy for Retrospective Evaluation of Students SQL Learning Engagements. pages 1–7. 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), IEEE, May 2023.
   
• Chukwuka Victor Obionwu, Maximilian Karl, David Broneske, Anja Hawlitschek, Paul Blockhaus, and Gunter Saake. A Strategy for Structuring Teams Collaboration in University Course Projects. pages 32–42. In Proceedings of the 20th International Conference on Smart Business Technologies (ICSBT 2023),, May 2023.
   
• Chukwuka Victor Obionwu, S.M Laique Abbas, Visakh Padmanabhan, Taruna Tiwari, David Broneske, and Gunter Saake. Optical image recognition strategy for keyword extraction and page ranking for slide recommendation system. pages 2065–2070. 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), IEEE, May 2023.
   
• Victor Obionwu, Vincent Toulouse, David Broneske, and Gunter Saake. Automatic instructional feedback, and a Lecture Hub System, a Strategy towards Nurturing the acquisition of a structured engagement behavior. In International Conference on Data Management Technologies and Applications (pp. 219-242). Cham: Springer Nature Switzerland., May 2023.
   
• Spoorthi Nijalingappa, Bala Gurumurthy, David Broneske, and Gunter Saake. Vertical Vectorized Hashing for Faster Group-By Aggregation. In Proceedings of the International Workshop on Big Data Management on Emerging Hardware (HardBD), April 2023. Accepted.
   
• Bala Gurumurthy, David Broneske, Martin Schäler, Thilo Pionteck, and Gunter Saake. Novel Insights on Atomic Synchronization for Sort-Based Group-By on GPUs. Distributed and Parallel Databases (DAPD), April 2023.
   
• Harish Kumar Harihara Subramanian, Bala Gurumurthy, Gabriel Campero Durand, David Broneske, and Gunter Saake. Out-of-the-Box Library Support for DBMSOperations On GPUs. Distributed and Parallel Databases (DAPD), April 2023.
   
• Christopher Vox, David Broneske, Istiaque Mannafee Shaikat, and Gunter Saake. Data Streams: Investigating data structures for multivariate asynchronous time series prediction problems. In International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2023. accepted.
   
• Bala Gurumurthy, David Broneske, Gabriel Campero Durand, Thilo Pionteck, and Gunter Saake. ADAMANT: A Query Executor with Plug-In Interfaces for Easy Co-processor Integration. In IEEE International Conference on Data Engineering (ICDE), April 2023.
   
• Chukwuka Victor Obionwu, Damanpreet Singh Walia, Taruna Tiwari, Tathagatha Ghosh, David Broneske, and Gunter Saake. Towards A Strategy for Developing a Project Partner Recommendation System for University Course Projects. pages 144–151. 6th World Conference on Computing and Communication Technologies (WCCCT 2023), IEEE, January 2023.
   
• Chukwuka Victor Obionwu, Rahul Kumar, Suhas Shantharam, David Broneske, and Gunter Saake. Semantic Relatedness : A Strategy for Plagiarism Detection in SQL Assignments. pages 158–165. 2023 6th World Conference on Computing and Communication Technologies (WCCCT), IEEE, January 2023.
   
• Rahul Mondal, Minh Dung Do, Nasim Uddin Ahmed, Daniel Walke, Daniel Micheel, David Broneske, Gunter Saake, and Robert Heyer. Decision tree learning in Neo4j on homogeneous and unconnected graph nodes from biological and clinical datasets. BMC Medical Informatics and Decision Making, 2023. (PDF)
   
• Daniel Walke, Daniel Micheel, Kay Schallert, Thilo Muth, David Broneske, Gunter Saake, and Robert Heyer. The importance of graph databases and graph learning for clinical applications. Database: The Journal of Biological Databases and Curation, 2023. Accepted review about graph databases and graph machine learning. (PDF)
   
• Johannes Wünsche, Sajad Karim, Michael Kuhn, David Broneske, and Gunter Saake. Intelligent Data Migration Policies in a Write-Optimized Copy-on-Write Tiered Storage Stack. In Jean-Thomas Acquaviva, Shadi Ibrahim, and Suren Byna, editors, Proceedings of the 3rd Workshop on Challenges and Opportunities of Efficient and Performant Storage Systems, CHEOPS 2023, Rome, Italy, 8 May 2023, pages 17–26. ACM, 2023.
   
• Paul Blockhaus, Gabriel Campero Durand, David Broneske, and Gunter Saake. Towards a Future of Fully Self-Optimizing Query Engines. In 34. Workshop Grundlagen von Datenbanken, 2023.
   
• Chukwuka Victor Obionwu, Taruna Tiwari, Bhavya Baburaj Chovatta Valappil, Nishanth Raikar, Damanpreet Singh Walia, S.M Laique Abbas, chukwuemeka Okafor, David Broneske, and Gunter Saake. A Domain specific students’ assistance system for the provision of instructional feedback. pages 2065–2070. 2023 International Conference on Machine Learning and Applications (ICMLA), IEEE, September 2023.
   
• Chukwuka Victor Obionwu, Rahul Raj Kanagaraj, David Broneske, Anja Buch, Christian Knopke, and Gunter Saake. A Mediation Strategy For Communication Between an internal Chat System and an Open Source Chat System. International Conference on Advances in Education and Information Technology, Springer, September 2023. Accepted.
   
• Sadeq Darrab, Harshitha Allipilli, Sana Ghani, Harikrishnan Changaramkulath, Sricharan Koneru, David Broneske, and Gunter Saake. Anomaly Detection Algorithms: Comparative Analysis and Explainability Perspectives. page 90–104. Australasian Conference on Data Science and Machine Learning (AusDM23), Springer, 2023. published.
   
• Chukwuka Victor Obionwu, Devi Prasad Ilapavuluri, David Broneske, and Gunter Saake. A Study Partner Recommender System Using a Community Detection Algorithm. Springer Nature Computer Science book series, November 2023. Accepted.
   
• Sajad Karim, Johannes Wünsche, David Broneske, Michael Kuhn, and Gunter Saake. Assessing Non-volatile Memory in Modern Heterogeneous Storage Landscape using a Write-optimized Storage Stack. In Holger Schwarz, editor, Proceedings of the 34th GI-Workshop on Foundations of Databases (Grundlagen von Datenbanken), Hirsau, Germany, June 7-9, 2023, volume 3714 of CEUR Workshop Proceedings. CEUR-WS.org, 2023.
   

2022

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• Sadeq Darrab, David Broneske, and Gunter Saake. UCRP-miner: Mining Patterns that Matter. IEEE, May 2022.
   
• Christopher Vox, Jan Piewek, Andreas Udo Sass, David Broneske, and Gunter Saake. Integer Time Series Compression for Holistic Data Analytics in the Context of Vehicle Sensor Data. In International Conference on Connected Vehicles & Expo (ICVVE), 2022.
   
• Ian Wolff, David Broneske, and Veit Köppen. Towards a Learning Analytics Metadata Model. In Proceedings of the International Learning Analytics and Knowledge Conference (LAK), 2022. Accepted.
   
• Victor Obionwu, Vincent Toulouse, David Broneske, and Gunter Saake. Slide-Recommendation System: A Strategy for Integrating Instructional Feedback into Online Exercise Sessions. pages 541–548. SCITEPRESS, In Proceedings of the 11th International Conference on Data Science, Technology and Applications, June 2022.
   
• Victor Obionwu, David Broneske, and Gunter Saake. A Collaborative Learning Environment using Blogs in a learning management system. In 11th International Conference on Knowledge and Education Technology, pages 213–232. International Conference on Computer Science and Education in Computer Science, Springer, November 2022.
   
• Victor Obionwu, David Broneske, and Gunter Saake. Leveraging Educational Blogging to Assess the Impact of Collaboration on Knowledge Creation. In 13th International Conference on Distance Learning and Education (ICDLE 2022), pages 785–791. International Conference on Distance Learning and Education ICDLE 2022, IJIET, June 2022.
   
• Victor Obionwu, David Broneske, and Gunter Saake. Microblogs-A means for simulating informal learning beyond classrooms. In Proceedings of the 14th International Conference on Education Technology and Computers, pages 219–225. 14th International Conference on Education Technology and Computers (ICETC 2022), June 2022.
   
• Victor Obionwu, Chukwuka, Christian Harnisch, Kalu Kalu, David Broneske, and Gunter Saake. An intervention strategy for mitigating the prevalence of syntax errors during task exercise engagements. pages 1–6. International Conference on Engineering and Emerging Technologies ICEET 2022, IEEE, September 2022.
   
• David Broneske, Ian Wolff, Veit Köppen, and Martin Schäler. Exploiting views for collaborative research data management of structured data. In Proceedings of the International Conference on Asian Digital Libraries (ICADL), pages 360–376, 2022.
   
• Victor Obionwu, David Broneske, and Gunter Saake. Topic maps as a tool for facilitating collaborative work pedagogy in knowledge management systems. pages 50–60. Proceedings of the 12th International Conference on Information Communication and Management, ACM, June 2022.
   

2021

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• David Broneske, Anna Drewes, Bala Gurumurthy, Imad Hajjar, Thilo Pionteck, and Gunter Saake. In-Depth Analysis of OLAP Query Performance On Heterogeneous Hardware. Datenbank-Spektrum, Volume 21, page 133–143, May 2021.
   
• Sadeq Darrab, David Broneske, and Gunter Saake. Modern Applications and Challenges for Rare Itemset Mining. International Journal of Machine Learning and Computing, Volume 11, May 2021.
   
• Harish Kumar Harihara Subramanian, Bala Gurumurthy, Gabriel Campero Durand, David Broneske, and Gunter Saake. Analysis of GPU-Libraries for rapid Prototyping Database Operations. In Proceedings of the International Workshop on Big Data Management on Emerging Hardware (HardBD), pages 36–41, April 2021.
   
• Bala Gurumurthy, David Broneske, Martin Schäler, Thilo Pionteck, and Gunter Saake. An Investigation of Atomic Synchronization for Sort-Based Group-By Aggregation on GPUs. In Proceedings of the International Workshop on Big Data Management on Emerging Hardware (HardBD), pages 48–53, April 2021.
   
• Victor Obionwu, David Broneske, Anja Hawlitschek, Veit Köppen, and Gunter Saake. SQLValidator - An Online Student Playground to Learn SQL. Datenbank-Spektrum, Springer, 21(2):73–81, March 2021.
   
• Muhammad Attahir Jibril, Philipp Götze, David Broneske, and Kai-Uwe Sattler. Selective Caching: A Persistent Memory Approach for Multi-Dimensional Index Structures. Distributed and Parallel Databases (DAPD), 2021.
   
• Sadeq Darrab, David Broneske, and Gunter Saake. MaxRI: A method for discovering maximal rare itemsets. In 2021 4th International Conference on Data Science and Information Technology. ACM, July 2021.
   
• Anh Trang Le, Gabriel Campero Durand, Bala Gurumurthy, David Broneske, Christoph Steup, and Gunter Saake. Design Considerations Towards AI-Driven Co-Processor Accelerated Database Management. In Grundlagen von Datenbanken (GvDB), April 2021. Accepted.
   
• Martin Schäler, Christine Tex, Veit Köppen, David Broneske, and Gunter Saake. Towards multi-purpose main-memory storage structures: Exploiting sub-space distance equalities in totally ordered data sets for exact knn queries. Information Systems, 2021.
   
• Hayastan Avetisyan and David Broneske. Identifying and Understanding Game-Framing in Online News: BERT and Fine-Grained Linguistic Features. In Proceedings of the International Conference on Natural Language and Speech Processing (ICNLSP), pages 95–107. Association for Computational Linguistics, 2021.
   
• Ian Wolff, David Broneske, and Veit Köppen. A first metadata schema for learning analytics research data management. o-bib. Das offene Bibliotheksjournal/Herausgeber VDB, 8(4):1–20, 2021.
   
• Sadeq Darrab, Priyamvada Bhardwaj, David Broneske, and Gunter Saake. OPECUR: An enhanced clustering-based model for discovering unexpected rules. In 17th anniversary of the International Conference on Advanced Data Mining and Applications (ADMA'21). Springer, October 2021.
   
• Roman Zoun, Kay Schallert, David Broneske, Ivayla Trifonova, Xiao Chen, Robert Heyer, Dirk Benndorf, and Gunter Saake. An Investigation of Alternatives to Transform Protein Sequence Databases to a Columnar Index Schema. Algorithms, 14(2), 2021.
   
• Rahul Mondal, Minh Dung Do, Nasim Uddin Ahmed, David Broneske, Gunter Saake, and Robert Heyer. Integrating Decision Tree Learning on the Graph Database Neo4j to Analyze Clinical Data. In Proceedings of the International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB), 2021.
   
• Ian Wolff, David Broneske, and Veit Köppen. FAIR research data management for learning analytics. In Proceedings of DELFI Workshops, pages 158–163, 2021.
   
• Nicole Vorhauer-Huget, Praveen Mathew, Hariharasudhan Gunasekaran, Minh Do, Savio Thalakkotoor, Vishnu Jayanand, Prathap Dhanasekaran, Chinmay Hegde, Benjith Kochupurakkal, and David Broneske. 3D Animation of Single Stage Batch Distillation for Distance Learning. In EDULEARN21 Proceedings, pages 476–483. IATED, 2021.
   

2020

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• Xiao Chen, Nishanth Entoor Venkatarathnam, Kirity Rapuru, David Broneske, Gabriel Campero Durand, Roman Zoun, and Gunter Saake. Analysis and Comparison of Block-Splitting-Based Load Balancing Strategies for Parallel Entity Resolution. In International Conference on Information Integration and Web-based Applications & Services (iiWAS2020), page 446–455. ACM, November 2020.
   
• Bala Gurumurthy, Imad Hajjar, David Broneske, Thilo Pionteck, and Gunter Saake. When Vectorwise Meets Hyper, Pipeline Breakers Become the Moderator. Eleventh International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures (ADMS), August 2020.
   
• Gabriel Campero Durand, Anshu Daur, Vinayak Kumar, Shivalika Suman, Altaf Mohammed Aftab, Sajad Karim, Prafulla Diwesh, Chinmaya Hegde, Disha Setlur, Syed Md Ismail, David Broneske, and Gunter Saake. Spread the good around! Information Propagation in Schema Matching and Entity Resolution for Heterogeneous Data. Second Workshop on Data Integration to Knowlege Graphs, DI2KG 2020@VLDB, August 2020. DI2KG Challenge Winner Paper. (PDF)
   
• Anna Drewes, Jan Moritz Joseph, Bala Gurumurthy, David Broneske, Gunter Saake, and Thilo Pionteck. Optimising Operator Sets for Analytical Database Processing on FPGAs. In International Workshop on Applied Reconfigurable Computing (ARC), pages 30–44, February 2020.
   
• Marcus Pinnecke, Gabriel Campero, David Broneske, Roman Zoun, and Gunter Saake. GridTables: A One-Size-Fits-Most H2TAP Data Store. Datenbank-Spektrum, Volume 2020/01/31, 2020.
   
• Muhammad Attahir Jibril, Philipp Götze, David Broneske, and Kai-Uwe Sattler. Selective Caching: A Persistent Memory Approach for Multi-Dimensional Index Structures. In Proceedings of the International Workshop on Big Data Management on Emerging Hardware (HardBD), pages 115–120. IEEE, 2020.
   
• Mahmoud Mohsen, Norman May, Christian Färber, and David Broneske. FPGA-Accelerated Compression of Integer Vectors. In International Workshop on Data Management on New Hardware (DaMoN), pages 1–10. ACM, June 2020.
   
• Sadeq Darrab, David Broneske, and Gunter Saake. RPP Algorithm: A Method for Discovering Interesting Rare Itemsets. In Fifth International Conference on Data Mining and Big Data (DMBD), volume 1234, pages 14–25. Springer, July 2020.
   
• Paul Blockhaus, David Broneske, Martin Schäler, Veit Köppen, and Gunter Saake. Combining Two Worlds: MonetDB with Multi-Dimensional Index Structure Support to Efficiently Query Scientific Data. In Proceedings of the 32nd International Conference on Scientific and Statistical Database Management (SSDBM), pages 1–4, July 2020.
   

2019

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• Xiao Chen, Yinlong Xu, David Broneske, Gabriel Campero Durand, Roman Zoun, and Gunter Saake. Heterogeneous Committee-Based Active Learning for Entity Resolution (HeALER). In European Conference on Advances in Databases and Information Systems (ADBIS), LNCS, pages 69–85, September 2019.
   
• Gabriel Campero Durand, Rufat Piriyev, Marcus Pinnecke, David Broneske, and Gunter Saake. Automated Vertical Partitioning with Deep Reinforcement Learning. European Conference on Advances in Databases and Information Systems, September 2019. (PDF)
   
• Roman Zoun, Kay Schallert, David Broneske, Ivayla Trifonova, Xiao Chen, Robert Heyer, Dirk Benndorf, and Gunter Saake. Efficient Transformation of Protein Sequence Databases to Columnar Index Schema. In International Workshop on Biological Knowledge Discovery and Data Mining (BIOKDD-DEXA), volume 1062 of CCIS, pages 67–72. IEEE, August 2019.
   
• Rutuja Pawar, Sepideh Sobhgol, Gabriel Campero Durand, Marcus Pinnecke, David Broneske, and Gunter Saake. Codd's World: Topics and their Evolution in the Database Community Publication Graph. In Grundlagen von Datenbanken, volume 2367, pages 1–6, June 2019.
   
• David Broneske. Accelerating mono and multi-column selection predicates in modern main-memory database systems. PhD thesis, University of Magdeburg, May 2019.
   
• Xiao Chen, Gabriel Campero Durand, Roman Zoun, David Broneske, Yang Li, and Gunter Saake. The Best of Both Worlds: Combining Hand-Tuned and Word-Embedding-Based Similarity Measures for Entity Resolution. In Datenbanksysteme für Business, Technologie und Web, pages 215 – 224, March 2019.
   
• Roman Zoun, Kay Schallert, David Broneske, Wolfram Fenske, Marcus Pinnecke, Robert Heyer, Sven Brehmer, Dirk Benndorf, and Gunter Saake. MSDataStream - Connecting a Bruker Mass Spectrometer to the Internet. In Datenbanksysteme für Business, Technologie und Web, pages 507 – 510. Gesellschaft für Informatik, March 2019.
   
• Marcus Pinnecke, Gabriel Campero, Roman Zoun, David Broneske, and Gunter Saake. Protobase: It’s About Time for Backend/Database Co-Design. In Holger Meyer, Norbert Ritter, Andreas Thor, Daniela Nicklas, Andreas Heuer, and Meike Klettke, editors, BTW 2019 – Workshopband, volume P-289 of Lecture Notes in Informatics (LNI), pages 515–518. Gesellschaft für Informatik, March 2019.
   
• David Broneske, Veit Köppen, Gunter Saake, and Martin Schäler. Efficient evaluation of multi-column selection predicates in main-memory. Transactions on Knowledge and Data Engineering, 31(7):1296–1311, July 2019. (PDF)
   
• Marcus Pinnecke, Gabriel Campero, Roman Zoun, David Broneske, and Gunter Saake. Protobase: It's About Time for Backend/Database Co-Design. In Datenbanksysteme für Business, Technologie und Web (BTW), pages 515–518, 2019.
   
• Roman Zoun, Kay Schallert, David Broneske, Sören Falkenberg, Robert Heyer, Sabine Wehnert, Sven Brehmer, Dirk Benndorf, and Gunter Saake. MStream: Proof of Concept of an Analytic Cloud Platform for Near-Real-Time Diagnostics using Mass Spectrometry Data. 002-2019, Otto-von-Guericke-University Magdeburg, 2019.
   

2018

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• Sabine Wehnert, David Broneske, Stefan Langer, and Gunter Saake. Concept Hierarchy Extraction from Legal Literature. In Proceedings of the CIKM 2018 Workshops, volume 2482. CEUR-WS.org, October 2018. (PDF)
   
• Iya Arefyeva, David Broneske, Gabriel Campero, Marcus Pinnecke, and Gunter Saake. Memory Management Strategies in CPU/GPU Database Systems: A Survey. In BDAS. Springer, September 2018.
   
• Marten Wallewein-Eising, David Broneske, and Gunter Saake. SIMD Acceleration for Main-Memory Index Structures – A Survey. In Proceedings of the International Conference Beyond Databases, Architectures and Structures (BDAS), pages 105–119, September 2018.
   
• Bala Gurumurthy, David Broneske, Marcus Pinnecke, Gabriel Campero Durand, and Gunter Saake. SIMD Vectorized Hashing for Grouped Aggregation. In Advances in Databases and Information Systems, pages 113 – 126, September 2018.
   
• Roman Zoun, Gabriel Campero Durand, Kay Schallert, Apoorva Patrikar, David Broneske, Wolfram Fenske, Robert Heyer, Dirk Benndorf, and Gunter Saake. Protein Identification as a Suitable Application for Fast Data Architecture. In International Workshop on Biological Knowledge Discovery and Data Mining (BIOKDD-DEXA), pages 168 – 178. IEEE, September 2018.
   
• Roman Zoun, Kay Schallert, Atin Janki, Rohith Ravindran, Gabriel Campero Durand, Wolfram Fenske, David Broneske, Robert Heyer, Dirk Benndorf, and Gunter Saake. Streaming FDR Calculation for Protein Identication. In Advances in Databases and Information Systems, pages 80 – 87, September 2018.
   
• Bala Gurumurthy, David Broneske, Tobias Drewes, Thilo Pionteck, and Gunter Saake. Cooking DBMS Operations using Granular Primitives - An overview on a primitive-based RDBMS query evaluation. Datenbank-Spektrum, August 2018. (PDF)
   
• Lars-Christian Schulz, David Broneske, and Gunter Saake. An Eight-Dimensional Systematic Evaluation of Optimized Search Algorithms on Modern Processors. In Proceedings of the International Conference on Very Large Databases (VLDB), volume 11, 1550-1562, August 2018.
   
• Iya Arefyeva, Gabriel Campero Durand, Marcus Pinnecke, David Broneske, and Gunter Saake. Low-Latency Transaction Execution on Graphics Processors: Dream or Reality?. Ninth International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures (ADMS), August 2018.
   
• Andreas Becher, Lekshmi B.G., David Broneske, Tobias Drewes, Bala Gurumurthy, Klaus Meyer-Wegener, Thilo Pionteck, Gunter Saake, Jürgen Teich, and Stefan Wildermann. Integration of FPGAs in Database Management Systems: Challenges and Opportunities. Datenbank-Spektrum, August 2018. (PDF)
   
• Gabriel Campero Durand, Marcus Pinnecke, Rufat Piriyev, Mahmoud Mohsen, David Broneske, Gunter Saake, Maya Sekeran, Fabian Rodriguez, and Laxmi Balami. GridFormation: Towards Self-Driven Online Data Partitioning using Reinforcement Learning. In First International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM), June 2018. (PDF)
   
• Bala Gurumurthy, Tobias Drewes, David Broneske, Gunter Saake, and Thilo Pionteck. Adaptive Data Processing in Heterogeneous Hardware Systems. In Grundlagen von Datenbanken, pages 10–15, May 2018.
   
• Atin Janki, Roman Zoun, Kay Schallert, Rohith Ravindran, David Broneske, Wolfram Fenske, Robert Heyer, Dirk Benndorf, and Gunter Saake. Connecting X! Tandem to a Database Management System. In GI-Workshop Grundlagen von Datenbanken, GvDB, pages 77–82, May 2018.
   
• Tobias Drewes, Jan Moritz Joseph, Bala Gurumurthy, David Broneske, Gunter Saake, and Thilo Pionteck. Efficient Inter-Kernel Communication for OpenCL Database Operators on FPGAs. In International Conference on Field-Programmable Technology (FPT), pages 266–269, December 2018.
   

2017

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• David Broneske, Andreas Meister, and Gunter Saake. Hardware-Sensitive Scan Operator Variants for Compiled Selection Pipelines. In 17. Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW), pages 403–412, 2017.
   
• Gabriel Campero Durand, Marcus Pinnecke, David Broneske, and Gunter Saake. Backlogs and interval timestamps: Building blocks for supporting temporal queries in graph databases. In Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT 2017), Venice, Italy, March 21-24, 2017., volume 1810. CEUR-WS, 2017. (PDF)
   
• David Broneske, Veit Köppen, Gunter Saake, and Martin Schäler. Accelerating multi-column selection predicates in main-memory – the Elf approach. In IEEE International Conference on Data Engineering (ICDE), pages 647 – 658, 2017. (PDF)
   
• Marcus Pinnecke, David Broneske, Gabriel Campero Durand, and Gunter Saake. Are Databases Fit for Hybrid Workloads on GPUs? A Storage Engine’s Perspective.. In Proceedings of the International Workshop on Big Data Management on Emerging Hardware, San Diego, USA, April 22, 2017, pages 1599–1606, 2017. (PDF)
   
• Iya Arefyeva, David Broneske, Marcus Pinnecke, Mudit Bhatnagar, and Gunter Saake. Column vs. Row Stores for Data Manipulation in Hardware Oblivious CPU/GPU Database Systems. In GvDB, pages 24–29. CEUR-WS, 2017.
   
• Roman Zoun, Kay Schallert, David Broneske, Robert Heyer, Dirk Benndorf, and Gunter Saake. Interactive Chord Visualization for Metaproteomics. In International Workshop on Biological Knowledge Discovery and Data Mining (BIOKDD-DEXA). IEEE, 2017. www.dxdoi.org/10.1109/DEXA.2017.32.
   
• David Broneske and Gunter Saake. Exploiting Capabilities of Modern Processors in Data Intensive Applications. it - Information Technology, 59(3):133–140, 2017.
   
• David Broneske and Martin Schäler. Single Instruction Multiple Data – Not Everything is a Nail for this Hammer. Failed Aspirations in Database Systems, 2017. VLDB Workshop.
   

2016

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• Veit Köppen, David Broneske, Martin Schäler, and Gunter Saake. Elf: A Main-Memory Index for Efficient Multi-Dimensional Range and Partial Match Queries. International Journal Of Advancement In Engineering Technology, Management and Applied Science (IJAETMAS), 3(12):96–105, December 2016. (PDF)
   
• Hagen Schink, David Broneske, Reimar Schröter, and Wolfram Fenske. A Tree-Based Approach to Support Refactoring in Multi-Language Software Applications. In International Conference on Advances and Trends in Software Engineering (SOFTENG), pages 44–49. IARIA, February 2016.
   

2015

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• Gunter Saake, David Broneske, Sebastian Dorok, and Andreas Meister, editors. Proceedings of the 27th GI-Workshop Grundlagen von Datenbanken, volume 1366 of GvDB, Germany, March 2015. CEUR.
   
• David Broneske. Adaptive Reprogramming for Databases on Heterogeneous Processors. In SIGMOD/PODS Ph.D. Symposium. ACM, 2015.
   
• Marcus Pinnecke, David Broneske, and Gunter Saake. Toward GPU Accelerated Data Stream Processing. In Proceedings of the 27th GI-Workshop Grundlagen von Datenbanken, Gommern, Germany, May 26-29, 2015., pages 78–83, 2015.
   
• Veit Köppen, David Broneske, Gunter Saake, and Martin Schäler. Elf: A Main-Memory Structure for Efficient Multi-Dimensional Range and Partial Match Queries. Technical Report 002-2015, Otto-von-Guericke-University Magdeburg, Magdeburg, #dec# 2015. (PDF)
   

2014

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• David Broneske, Sebastian Dorok, Veit Köppen, and Andreas Meister. Software Design Approaches for Mastering Variability in Database Systems. In GvD, volume 1313 of CEUR Workshop Proceedings, pages 47–52, October 2014. (PDF)
   
• David Broneske, Sebastian Breß, Max Heimel, and Gunter Saake. Toward Hardware-Sensitive Database Operations. In Proceedings of the 17th International Conference on Extending Database Technology (EDBT), pages 229–234. OpenProceedings.org, 2014.
   
• David Broneske, Sebastian Breß, and Gunter Saake. Database Scan Variants on Modern CPUs: A Performance Study. In Proceedings of the 2nd International Workshop on In-Memory Data Management and Analytics (IMDM), Lecture Notes in Computer Science, pages 97–111. Springer, 2014.
   

2013

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• David Broneske. On the Impact of Hardware on Relational Join Processing. Master thesis, University of Magdeburg, Germany, August 2013.
   
• David Broneske, Martin Schäler, and Alexander Grebhahn. Extending an Index-Benchmarking Framework with Non-Invasive Visualization Capability. In Workshop on Information Systems in Digital Engineering (ISDE), BTW-Workshops, pages 151–160. Köllen-Verlag, 2013.
   

2012

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• David Broneske. Visuelle Analyse der Raumaufteilung und Bucketauslastung von permutationsbasierten Indexverfahren. Bachelor thesis, University of Magdeburg, Germany, April 2012. In German.
   
• Alexander Grebhahn, David Broneske, Martin Schäler, Reimar Schröter, Veit Köppen, and Gunter Saake. Challenges in finding an appropriate multi-dimensional index structure with respect to specific use cases. In Ingo Schmitt, Sascha Saretz, and Marcel Zierenberg, editors, Proceedings of the 24th GI-Workshop "Grundlagen von Datenbanken 2012", pages 77–82. CEUR-WS, 2012. urn:nbn:de:0074-850-4.
   
• David Broneske, Denis Dietze, Maik Lampe, and Andreas Meier. Vergleich von Indexverfahren für hochdimensionale Datenräume. In Techniken zur forensischen Datenhaltung, volume 1 of Ausgewählte studentische Beiträge (AsB), pages 1 – 12. Fakultät für Informatik, Otto-von-Guericke-Universität Magdeburg, 2012.
   

misc

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• Daniel Walke, Daniel Steinbach, Sebastian Gibb, Thorsten Kaiser, Paul Ahrens, Gunter Saake, David Broneske, and Robert Heyer. Edges are all you need: Potential of Medical Time Series Analysis with Graph Neural Networks.. Currently only a pre-print.
   

Betreute Arbeiten

2024

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• Sunil Jaipal Ghadwal. Pipeline for Automated Speaker-Attributed Video Transcription. Master's thesis, University of Magdeburg, 2024.
   

2023

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• Sebastian Kittan. Analyzing Software Evolution Datasets and Their Use Cases. Master's thesis, University of Magdeburg, March 2023.
   
• Prasanth Vaidya Karanam. Occupation Coding Using a Pretrained Language Model by Integrating Domain Knowledge. Master's thesis, University of Magdeburg, March 2023.
   
• Shadrack Akhidenor. Development of a User Friendly Web Application for Survey Questionnaire Database. Master's thesis, University of Magdeburg, July 2023.
   
• Pawan Joshi. A Study of Keyword and Keyphrase Extraction Techniques for Quantitative Social Science Surveys. Master's thesis, University of Magdeburg, January 2023.
   
• Vinaykumar Reddy Yadavelli. VIZ-A Web Application for Data Visualization. Master's thesis, University of Magdeburg, September 2023.
   

2022

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• Nathan Kumar Chikkam. Design and implementation of backend web architecture for DZHW data portal visualizations. Master's thesis, University of Magdeburg, December 2022.
   
• Aditya. Query-Analysis on Git-Attributes in Relational and Graph-DB. Master's thesis, University of Magdeburg, March 2022.
   
• Paul Blockhaus. A Framework for Adaptive Reprogramming Using a JIT-Compiled Domain Specific Language for Query Execution. Master's thesis, University of Magdeburg, March 2022.
   
• Kurian John. Designing a Database Schema for Survey Questions. Master's thesis, University of Magdeburg, March 2022.
   
• Baizil Mulakkampilly Devassy. Desigining a Database Schema for Survey Data. Master's thesis, University of Magdeburg, April 2022.
   
• Sajad Karim. Supplementing a Modern Storage Engine with Non-volatile Memory. Master thesis, University of Magdeburg, 2022.
   

2021

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• Vincent Toulouse. Slide-recommendation for improving students SQL solutions using natural language processing. Bachelor thesis, University of Magdeburg, September 2021.
   
• Christian Harnisch. Ein tutorial für das Lehrtool SQL Validator. Bachelor thesis, OVGU, December 2021.
   
• Nikhil Mandya Parashivamurthy. Forecast of Gap Year in a Student’s Education and the Factors Contributing to It. Master's thesis, University of Magdeburg, July 2021.
   
• Felix Schmekel. Redesign des mobilen Geoinformationssystems – SAGis Mobil App. Bachelor thesis, University of Magdeburg, 2021.
   

2020

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• Saagar Gaikwad. Predicting bond prices using regression and neural network techniques. Master's thesis, University of Magdeburg, May 2020.
   
• Kai Wolf. Datenparallele Selektionen auf der multidimensionalen Indexstruktur Elf. Master's thesis, University of Magdeburg, February 2020. (PDF)
   
• Mahmoud Mohsen. FPGA-Accelerated Compression of Integer Vectors. Master's thesis, University of Magdeburg, March 2020.
   
• Jasper Orschulko. Designing a Schema Language for Columnar Binary JSON (CARBON) Files. Bachelor thesis, University of Magdeburg, August 2020.
   
• Marcel Plumbohm. A Comparative Benchmark for Binary JSON Formats. Master's thesis, University of Magdeburg, October 2020.
   
• Huanqing Shang. Level Order Linearization for the Elf Approach. Master's thesis, University of Magdeburg, November 2020. (PDF)
   
• Steven Schulze. Fast Parsing of NDJSON Files in Main Memory Databases. Bachelor thesis, University of Magdeburg, August 2020.
   
• Saidi Reddy Vummadi. Evaluation of GPU based Segmented Scans. Master's thesis, University of Magdeburg, January 2020.
   

2019

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• Dominik and Patrick Schön. Entscheidungsunterstützung im Handeln mit Anleihen. Master's thesis, University of Magdeburg, March 2019.
   
• Paul Blockhaus. Parallelizing the Elf - A Task Parallel Approach. Bachelor thesis, University of Magdeburg, December 2019. (PDF)
   
• Prashanth kumar Pavuluri. Usage of Machine Learning at CERT. Master's thesis, University of Magdeburg, January 2019.
   
• Ulrike Sprengel. Konzeption und Integration einer Beauftragungsübersicht in ein bestehendes Qualitätsmanagementsystem. Bachelor thesis, University of Magdeburg, November 2019.
   

2018

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• Rudi Bikschentajew. Evaluierung der Effizienz einer semi-virtuellen Data Warehouse Architektur im Vergleich zu einem multidimensionalen Datenwu ̈rfel im Hinblick auf Volumen. Master's thesis, University of Magdeburg, October 2018.
   
• Florian Bethe. Elf meets MonetDB: Integrating a multi-column structure into a column store. Master's thesis, University of Magdeburg, June 2018. Master Thesis. (PDF)
   

2017

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• Bala Gurumurthy. Analysis of Hashing Techniques for Efficient Group-Based Aggregation. Master's thesis, University of Magdeburg, September 2017. (PDF)
   
• Jan Schumacher. Live-Video-Streaming in mobile Netzwerken. Master's thesis, University of Magdeburg, September 2017.
   
• Gabriel Campero. Best Practices for Developing Graph Database Applications: A Case Study Using Apache Titan. Master thesis, University of Magdeburg, Germany, January 2017.
   
• Lars-Christian Schulz. Searching in Sorted Lists on Modern Processors. Bachelor thesis, University of Magdeburg, 2017. (PDF)
   

2016

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• Mudit Bhatnagar. Processing OLTP Workloads on Hybrid CPU/GPU Systems. Master thesis, University of Magdeburg, November 2016.
   
• Artur Sitnikov. Optimizations for Massively Parallel Sort-Merge Join. Bachelor thesis, University of Magdeburg, Germany, June 2016.
   

2015

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• Jan Düwel. Parallelisierung in Query Compilern mit Lightweight-Modular-Staging. Master thesis, University of Magdeburg, Germany, December 2015. In German. (PDF)
   
• Molham Kindakli. Design and Implementation of an Efficient Approach for Custom-fields and Formulas with SAP HANA. Master thesis, University of Magdeburg, Germany, August 2015.
   
• Christian Steusloff and Jens Wiemann. Machbarkeitsanalyse einer Workflow-Automatisierung am Beispiel eines spezifischen Kundenauftrages. Bachelor thesis, University of Magdeburg, Germany, June 2015. In German.
   
• Vinod Chelladurai. Performance Impacts of Different Code Optimizations for the Radix Join. Master thesis, University of Magdeburg, Germany, February 2015. (PDF)
   

2014

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• Marco Holzknecht. Workload-basierte heuristische Optimierung von Data-Warehouse-Konfigurationen. Master thesis, University of Magdeburg, Germany, July 2014. In German.
   
• Steffen Schulze. Konzept zur effizienten Datenanalyse auf Basis feingranularer Änderungserkennung am Beispiel von MinD.banker. Bachelor thesis, University of Magdeburg, Germany, April 2014. In German.