UID:
almahu_9949865062202882
Format:
LVII, 452 p. 146 illus., 138 illus. in color.
,
online resource.
Edition:
1st ed. 2024.
ISBN:
9783031703683
Series Statement:
Lecture Notes in Artificial Intelligence, 14947
Content:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031703676
Additional Edition:
Printed edition: ISBN 9783031703690
Language:
English
DOI:
10.1007/978-3-031-70368-3
URL:
https://doi.org/10.1007/978-3-031-70368-3
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