Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September ... X

Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September ... X

Jesse Davis , Tomas Krilavičius , Meelis Kull
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Sep 2, 2024 · 영어 · 페이퍼백 (522 페이지)
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책 세부 정보

형식 페이퍼백
페이지 522
언어 영어
출판됨 Sep 2, 2024
출판사 Springer
ISBN-10 3031703804
ISBN-13 9783031703805

설명

This collection showcases cutting-edge research presented at the European Conference on Machine Learning and Knowledge Discovery in Databases. It brings together contributions from leading experts in the field who delve into practical applications of machine learning within databases.

Readers will find a rich array of innovative approaches and methodologies aimed at harnessing data effectively. The authors, a diverse group of researchers, share insights that not only enhance the understanding of data science but also provide valuable perspectives for future developments.

This book serves as an essential resource for practitioners and researchers alike, inspiring further exploration and collaboration in the ever-evolving landscape of data science.
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