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Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track
Details
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783031703805
- Genre Information Technology
- Auflage 2024
- Editor Albert Bifet, Slawomir Nowaczyk, Ioanna Miliou, Tomas Krilavi ius
- Lesemotiv Verstehen
- Anzahl Seiten 524
- Größe H235mm x B155mm x T29mm
- Jahr 2024
- EAN 9783031703805
- Format Kartonierter Einband
- ISBN 3031703804
- Veröffentlichung 02.09.2024
- Titel Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track
- Autor Tomas Krilavicius , Ioanna Miliou , Slawomir Nowaczyk
- Untertitel European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part X
- Gewicht 785g
- Herausgeber Springer Nature Switzerland
- Sprache Englisch