European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9–13, 2024, Proceedings, Part IV Bifet, Albert. editor. edt http://id.loc.gov/vocabulary/relators/edt Davis, Jesse. editor. edt http://id.loc.gov/vocabulary/relators/edt Krilavičius, Tomas. editor. edt http://id.loc.gov/vocabulary/relators/edt Kull, Meelis. editor. edt http://id.loc.gov/vocabulary/relators/edt Ntoutsi, Eirini. editor. edt http://id.loc.gov/vocabulary/relators/edt Žliobaitė, Indrė. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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access LVII, 456 p. 122 illus., 112 illus. in color. online resource. This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, Lithuania, in September 2024. The papers presented in these proceedings are from the following three conference tracks: - Research Track: The 202 full papers presented here, from this track, were carefully reviewed and selected from 826 submissions. These papers are present in the following volumes: Part I, II, III, IV, V, VI, VII, VIII. Demo Track: The 14 papers presented here, from this track, were selected from 30 submissions. These papers are present in the following volume: Part VIII. Applied Data Science Track: The 56 full papers presented here, from this track, were carefully reviewed and selected from 224 submissions. These papers are present in the following volumes: Part IX and Part X. edited by Albert Bifet, Jesse Davis, Tomas Krilavičius, Meelis Kull, Eirini Ntoutsi, Indrė Žliobaitė. Artificial intelligence Computer engineering Computer networks  Computers Image processing Digital techniques Computer vision Software engineering Artificial Intelligence Computer Engineering and Networks Computing Milieux Computer Imaging, Vision, Pattern Recognition and Graphics Software Engineering Q334-342 TA347.A78 9783031703591 https://doi.org/10.1007/978-3-031-70359-1 https://doi.org/10.1007/978-3-031-70359-1 240829 20251030112919.0 978-3-031-70359-1