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Více informací o knize Machine Learning and Knowledge Discovery in Databases. Research Track

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v němčině Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik

• Plný název: Machine Learning and Knowledge Discovery in Databases. Research Track
• Autor: Jesse Davis, Indr? ?Liobait?, Meelis Kull, Eirini Ntoutsi, Tomas Krilavi?ius
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 516
• EAN: 9783031703645
• ISBN: 3031703642
• ID: 46483430
• Nakladatelství: Springer Nature Switzerland
• Hmotnost: 774 g
• Rozměry: 235 × 155 × 28 mm
• Datum vydání: 02. September 2024

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