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Machine Learning and Knowledge Discovery in Databases
Machine Learning and Knowledge Discovery in Databases
Software Engineering

Machine Learning and Knowledge Discovery in Databases

by Albert Bifet, Jesse Davis, Tomas Krilavičius, Meelis Kull, Eirini Ntoutsi, Indrė Žliobaitė · Springer · tapa blanda · ISBN 9783031703584

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Machine Learning and Knowledge Discovery in Databases
Machine Learning and Knowledge Discovery in Databases
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Author: Albert Bifet, Jesse Davis, Tomas Krilavičius, Meelis Kull, Eirini Ntoutsi, Indrė Žliobaitė
ISBN: 9783031703584
Publisher: Springer
Language: English
Format: tapa blanda
Release date: 8/30/2024
Pages: 450 pages
Dimensions: 23.5 x 15.5 x 3 cm
Weight: 717 g
Last unit!6 people have it in their cart
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Synopsis of Machine Learning and Knowledge Discovery in Databases

«Machine Learning and Knowledge Discovery in Databases» is Part IV of the proceedings (Research Track) of ECML PKDD 2024, in hardback (Springer, 450 pp.).

Peer-reviewed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, held in Vilnius (Lithuania) in September 2024. This volume brings together papers from the Research Track on artificial intelligence, machine learning, data mining, computer vision, deep learning and image processing.

Edited by Albert Bifet, Jesse Davis, Tomas Krilavičius, Meelis Kull, Eirini Ntoutsi and Indrė Žliobaitė. Volume LNAI 14944 of the Lecture Notes in Artificial Intelligence series.

For researchers and postgraduate students in machine learning, data mining and related areas.



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