David Broneske

David Broneske

Institut für Technische und Betriebliche Informationssysteme (ITI)
AG Datenbanken & Software Engineering
Universitätsplatz 2, 39106, Magdeburg,
Publikationen

2024

  • 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

  • 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

  • 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

2020

2019

  • 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

2017

2016

2015

2014

2013

2012

misc

Betreute Arbeiten

2024

2023

  • 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

2021

  • 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

2019

2018

2017

2016

2015

2014

 

Forschung
  • Modern hardware
  • Hardware sensitivity for databases
  • Variability in databases
  • Software product lines
  • Multi-dimensional index structures
Vita
David Broneske begann sein Informatik-Studium im Wintersemester 2008 an der Otto-von-Guericke-Universität Magdeburg. Seinen Bachelor erhielt er hier im Jahr 2012 und seinen Master im Jahr 2013. Seit August 2013 arbeitet David in der Arbeitsgruppe Datenbanken und Software Engineering als wisseschaftlicher Mitarbeiter. Er führt hier die Übungen von Datenbanken 1/ Datenmanagement, mehrere wiss. Projekte und präsentiert ein Kernkapitel der Veranstaltung Advanced Topics in Databases. Seine Forschung befasst sich mit der Generierung von Datenbank-Code, der für bestimmte Hardwarearchitekturen optimiert ist.

Last Modification: 08.03.2023 - Contact Person: