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Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021
Kamp, M [ed.]
;
Koprinska, I [ed.]
;
Bibal, A [ed.]
;
Bouadi, T [ed.]
;
Frenay, B [ed.]
;
Galarraga, L [ed.]
;
Oramas, J [ed.]
;
Adilova, L [ed.]
English Conference proceedings (Book) Scientific
Published: Springer International Publishing, Cham, Switzerland, 882 p.
2021
Conference:
Workshops of the 21st Joint European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2021 2021-09-13 [virtual event; online conference, International]
Series:
Communications in Computer and Information Science 1865-0929 1865-0937, 1524
Identifiers
MTMT: 32881237
DOI:
10.1007/978-3-030-93736-2
ISBN:
9783030937355
ISBN:
9783030937362
Chapters
Kiss Peter et al. Migrating Models: A Decentralized View on Federated Learning. (2021) In: Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021 pp. 177-191
Beaujean P. et al. Graph Homomorphism Features: Why Not Sample?. (2021) In: Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021 pp. 216-222
Martin Tomas et al. Towards Mining Generalized Patterns from RDF Data and a Domain Ontology. (2021) In: Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021 pp. 268-278
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2025-04-24 23:29
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Citation styles:
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