Chair for Databases and Information Systems

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  2. Faculties
  3. Faculty of Applied Computer Science
  4. Institute of Computer Science
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  7. Team
  8. Johannes Kastner

Dr. Johannes Kastner

Researcher
Chair for Databases and Information Systems
Phone: +49-821-598-3112
Email:
Room: 2005 (N)
Open hours: by arrangement
Address: Universitätsstraße 6a, 86159 Augsburg

Current Information

Since there are currently no more Covid related restrictions, physical meetings are possible again mostly on wednesday and thursday during my office hours.
Also digital meetings via Zoom are possible.
You find the link of my Zoom Meeting-Room in Digicampus on my profile page.

Please contact me via eMail to arrange a meeting with me.
 

Curriculum Vitae

  • since 04/2016 Research Assistant at the Chair for Databases and Information Systems
  • 04/2013 - 03/2016 Masters degree course Informatik at the University of Augsburg
  • 10/2009 - 03/2013 Bachelors degree course Informatik und Multimedia at the University of Augsburg
  • 06/2009 Abitur at Joseph-Bernhart Gymnasium in Türkheim

Research Topics

  • Clustering techniques
  • Processing and clustering of Stream Data
  • Evolution of User-Roles and Shapes
  • Extraction and processing of Social Media/ Social Network data
  • Recommender Systems

Publications

2024 | 2023 | 2021 | 2019 | 2018 | 2017

2024

Johannes Kastner. 2024. Discovery and explainability of fine-grained structures in large-scale user-generated data sets. Dissertation, Universität Augsburg. .
PDF | BibTeX | RIS

2023

Johannes Kastner and Peter M. Fischer. 2023. Detecting and analyzing fine-grained user roles in social media?. Computer Science and Information Systems 20, 3, 1263-1287. DOI: 10.2298/csis220110006k
PDF | BibTeX | RIS | DOI

2021

Johannes Kastner and Peter M. Fischer. 2021. Scalable and explainable user role detection in social media. In Ladjel Bellatreche, Marlon Dumas, Panagiotis Karras, Raimundas Matulevičius, Ahmed Awad, Matthias Weidlich, Mirjana Ivanović and Olaf Hartig (Ed.). New Trends in Database and Information Systems: ADBIS 2021 Short Papers, Doctoral Consortium and Workshops: DOING, SIMPDA, MADEISD, MegaData, CAoNS, Tartu, Estonia, August 24-26, 2021, Proceedings. Springer, Berlin (Communications in Computer and Information Science ; 1450), 263-275. DOI: 10.1007/978-3-030-85082-1_23
PDF | BibTeX | RIS | DOI

2019

Johannes Kastner, Markus Endres and Nemanja Ranitovic. 2019. The Borda social choice movie recommender. In 18. Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW 2019), März 2019, Rostock, Deutschland.
BibTeX | RIS

Johannes Kastner and Markus Endres. 2019. You have the choice: the Borda voting rule for clustering recommendations. In ADBIS 2019: 23rd European Conference on Advances in Databases and Information Systems, September 8-11, 2019, Bled, Slovenia.
BibTeX | RIS

2018

Markus Endres, Johannes Kastner and Lena Rudenko. 2018. Analyzing and clustering Pareto-optimal objects in data streams. In Moamar Sayed-Mouchaweh (Ed.). Learning from Data Streams in Evolving Environments: Methods and Applications. Springer International, Cham (Studies in Big Data ; 41), 63-91. DOI: 10.1007/978-3-319-89803-2_4
BibTeX | RIS | DOI

2017

Johannes Kastner, Markus Endres and Werner Kießling. 2017. A Pareto-dominant clustering approach for Pareto-frontiers. In Yannis Ioannidis, Julia Stoyanovich and Giorgio Orsi (Ed.). Nineteenth International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP 2017), colocated with EDBT/ICDT 2017, Venice, Italy, March 21, 2017. CEURS-WS (CEUR Workshop Proceedings ; Vol-1810), 1-5.
PDF | BibTeX | RIS | URL | URL

Johannes Kastner and Markus Endres. 2017. Multidimensional clustering approaches for pareto-frontiers. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2017-02. .
PDF | BibTeX | RIS

Teaching

No courses available.


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