David Broneske

Dr.-Ing. David Broneske

Institut für Technische und Betriebliche Informationssysteme (ITI)
AG Datenbanken & Software Engineering
Universitätsplatz 2, 39106, Magdeburg, G29-112
Projekte
Publikationen

2021

  • 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, March 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.
     
  • 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, July 2021. to be published.
     
  • 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), 2021. to appear.
     
  • Ian Wolff, David Broneske, and Veit Köppen. A first metadata schema for learning analytics research data management. o-Bib, Number 4, 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. To be published.
     
  • 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, GunterSaake, and Robert Heyer. Integrating Decision Tree Learning on the Graph Database Neo4j toAnalyze Clinical Data. In Proceedings of the International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB), 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

Betreute Arbeiten

2021

  • Vincent Toulouse. Slide-recommendation for improving students SQL solutions using natural language processing. Bachelor thesis, University of Magdeburg, September 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.

Letzte Änderung: 12.03.2021 - Ansprechpartner:

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