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Autore: | Bifet Albert |
Titolo: | Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track : European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9–13, 2024, Proceedings, Part VIII / / edited by Albert Bifet, Povilas Daniušis, Jesse Davis, Tomas Krilavičius, Meelis Kull, Eirini Ntoutsi, Kai Puolamäki, Indrė Žliobaitė |
Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
Edizione: | 1st ed. 2024. |
Descrizione fisica: | 1 online resource (487 pages) |
Disciplina: | 006.3 |
Soggetto topico: | 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 | |
Altri autori: | DaniusisPovilas DavisJesse KrilavičiusTomas KullMeelis NtoutsiEirini PuolamäkiKai ŽliobaitėIndrė |
Sommario/riassunto: | 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. |
Titolo autorizzato: | Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track |
ISBN: | 3-031-70371-5 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910886080803321 |
Lo trovi qui: | Univ. Federico II |
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