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Machine Learning and Knowledge Discovery in Databases. Research Track European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9–13, 2024, Proceedings, Part I /

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 t...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Bifet, Albert (Editor), Davis, Jesse (Editor), Krilavičius, Tomas (Editor), Kull, Meelis (Editor), Ntoutsi, Eirini (Editor), Žliobaitė, Indrė (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edition:1st ed. 2024.
Series:Lecture Notes in Artificial Intelligence, 14941
Subjects:
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.
Online Access:https://doi.org/10.1007/978-3-031-70341-6
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Summary: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.
Physical Description:LVII, 462 p. 127 illus., 116 illus. in color. online resource.
ISBN:9783031703416
ISSN:2945-9141 ;
DOI:10.1007/978-3-031-70341-6

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