=Data Science=
Involved People
Teaching
| Type | Term | Name | Link |
|---|---|---|---|
| Praktikum | SS | Data Science & Real-Time Big Data Analytics | Lehre/Praktikum Data Science & Real-time Big Data Analytics |
| Seminar | SS | Knowledge Discovery and Data Science | Lehre/Praktikum Knowledge Discovery and Data Science |
| Vorlesung | WS | Applications of AI | Lehre/Vorlesung Anwendungen der Künstlichen Intelligenz |
| Vorlesung | WS | Knowledge Discovery | Lehre/Vorlesung Knowledge Discovery |
| Vorlesung | SS | Semantic Web Technologies | Lehre/Vorlesung Semantic Web Technologies |
Publications Belonging to the Area of Research
Article
Konstantin D. Pandl, Scott Thiebes, Manuel Schmidt-Kraepelin, Ali SunyaevHow detection ranges and usage stops impact digital contact tracing effectiveness for COVID-19
Scientific Reports, 11, (1), pages 9414, Mai, 2021
(Details)
Michael Färber, Carsten Menne, Andreas Harth
A Linked Data Wrapper for CrunchBase
Semantic Web Journal, 9, (4), pages 505–5015, 2018
(Details)
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inproceedings
Konstantin D. Pandl, Fabian Feiland, Scott Thiebes, Ali SunyaevTrustworthy machine learning for health care: scalable data valuation with the shapley value
Proceedings of the Conference on Health, Inference, and Learning, pages: 47–57, Association for Computing Machinery (ACM), April, 2021
(Details)
Michael Färber
Analyzing the GitHub Repositories of Research Papers
Proceedings of the 20th ACM/IEEE Joint Conference on Digital Libraries (JCDL'20), ACM, Xi'an, China
(Details)
Michael Färber, Victoria Burkard, Adam Jatowt, Lim Sora
A Multidimensional Dataset Based on Crowdsourcing for Analyzing and Detecting News Bias
Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM'20), ACM, Galway, Ireland
(Details)
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