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Data Science

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Beteiligte Personen
Dr. Michael Färber
Dr.-Ing. Tobias Käfer
Prof. Dr. York Sure-Vetter
M.Sc. Angew. Inf. Meike Ullrich


Lehrveranstaltungen
TypSemesterNameLink
PraktikumSSData Science & Real-Time Big Data Analytics
SeminarSSKnowledge Discovery and Data Science
VorlesungWSAnwendungen der KI
VorlesungWSKnowledge Discovery
VorlesungSSSemantic Web Technologies



Veröffentlichungen zum Forschungsgebiet

Article
Konstantin D. Pandl, Scott Thiebes, Manuel Schmidt-Kraepelin, Ali Sunyaev
How detection ranges and usage stops impact digital contact tracing effectiveness for COVID-19
Scientific Reports, 11, (1), Seiten 9414, Mai, 2021
(Details)


Michael Färber, Carsten Menne, Andreas Harth
A Linked Data Wrapper for CrunchBase
Semantic Web Journal, 9, (4), Seiten 505–5015, 2018
(Details)


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inproceedings
Konstantin D. Pandl, Fabian Feiland, Scott Thiebes, Ali Sunyaev
Trustworthy machine learning for health care: scalable data valuation with the shapley value
Proceedings of the Conference on Health, Inference, and Learning, Seiten: 47–57, Association for Computing Machinery (ACM), April, 2021
(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)


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)


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