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Titlebook: Advances in Knowledge Discovery and Management; Volume 8 Bruno Pinaud,Fabrice Guillet,Christine Largeron Book 2019 Springer Nature Switzerl

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期刊全稱Advances in Knowledge Discovery and Management
期刊簡(jiǎn)稱Volume 8
影響因子2023Bruno Pinaud,Fabrice Guillet,Christine Largeron
視頻videohttp://file.papertrans.cn/149/148657/148657.mp4
發(fā)行地址Presents representative and novel research in the fields of data science, semantic Web, clustering, and classification.Provides recent research in Knowledge Discovery and Management.Offers a carefully
學(xué)科分類Studies in Computational Intelligence
圖書封面Titlebook: Advances in Knowledge Discovery and Management; Volume 8 Bruno Pinaud,Fabrice Guillet,Christine Largeron Book 2019 Springer Nature Switzerl
影響因子.This book highlights novel research in Knowledge Discovery and Management (KDM), gathering the extended, peer-reviewed versions of outstanding papers presented at the annual conferences EGC’2017 & EGC’2018. The EGC conference cycle was founded by the International French-speaking EGC society (“Extraction et Gestion des Connaissances”) in 2003, and has since become a respected fixture among the French-speaking community. In addition to the annual conference, the society organizes various other events in order to promote exchanges between researchers and companies concerned with KDM and its applications to business, administration, industry and public organizations. .Addressing novel research in data science, semantic Web, clustering, and classification, the content presented here will chiefly benefit researchers interested in these fields, including Ph.D./M.Sc. students, at public and private laboratories alike.
Pindex Book 2019
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Discriminant Chronicle Miningon the subject, by Wiki creator Ward Cunningham, was very informative, but not sufficient for our purposes. We sensed that wikis could be used for much more than developing texts in a cooperative manner. However, the wiki world is a jungle rampant with political discussions and racing technological
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Model Based Co-clustering of Mixed Numerical and Binary Data978-3-0348-6603-3
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1860-949X l research in data science, semantic Web, clustering, and classification, the content presented here will chiefly benefit researchers interested in these fields, including Ph.D./M.Sc. students, at public and private laboratories alike.978-3-030-18131-4978-3-030-18129-1Series ISSN 1860-949X Series E-ISSN 1860-9503
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