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Viac informácií o knihe Machine Learning and Knowledge Discovery in Databases. Research Track

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 199 bodov

Anotácia 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.

Parametre knihy

Zaradenie knihy Knihy po nemecky Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik

• Celý názov: Machine Learning and Knowledge Discovery in Databases. Research Track
• Autor: Jesse Davis, Indr? ?Liobait?, Meelis Kull, Eirini Ntoutsi, Tomas Krilavi?ius
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 512
• EAN: 9783031703676
• ISBN: 3031703677
• ID: 46483431
• Nakladateľ: Springer Nature Switzerland
• Hmotnosť: 768 g
• Rozmery: 235 × 155 × 28 mm
• Dátum vydania: 01. September 2024

Obľúbené z iného súdka

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