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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
PraktikumSSKnowledge Discovery and Data Science
VorlesungWSAnwendungen der KI
VorlesungWSKnowledge Discovery
VorlesungSSSemantic Web Technologies



Veröffentlichungen zum Forschungsgebiet

Article
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
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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