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 Imprint: Springer International Publishing AG Country of Publication: Switzerland Edition: 2024 ed. Volume: 14942 Dimensions:
Height: 235mm,
Width: 155mm,
ISBN:9783031703430 ISBN 10: 303170343X Series:Lecture Notes in Artificial Intelligence Pages: 462 Publication Date:30 August 2024 Audience:
Professional and scholarly
,
Undergraduate
Format:Paperback Publisher's Status: Active