
by Albert Bifet, Jesse Davis, Tomas Krilavičius, Meelis Kull, Eirini Ntoutsi, Indrė Žliobaitė · Springer · tapa blanda · ISBN 9783031703515

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«Machine Learning and Knowledge Discovery in Databases» is vol. III of the ECML PKDD 2024 proceedings, eds. A. Bifet et al.; Springer, paperback, 516 pages.
Proceedings of the Research track of ECML PKDD 2024, held in Vilnius in September 2024. Includes peer-reviewed articles on machine learning, data mining, computer vision and knowledge discovery; this volume is LNAI 14943, part of the set LNAI 14941-LNAI 14950.
The Research track of ECML PKDD 2024 publishes 202 articles, selected from 826 submissions, distributed across Parts I to VIII; the Demo and Applied Data Science tracks are collected in Parts VIII to X.
For researchers, graduate students and professionals in artificial intelligence and data science interested in machine learning and data mining.

Tapa blanda
