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Advances in knowledge discovery and ...
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Guillet, Fabrice.
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Advances in knowledge discovery and management.. Volume 5
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Advances in knowledge discovery and management./ edited by Fabrice Guillet ... [et al.].
其他作者:
Guillet, Fabrice.
出版者:
Cham :Springer International Publishing : : 2016.,
面頁冊數:
xviii, 137 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Data mining -
電子資源:
http://dx.doi.org/10.1007/978-3-319-23751-0
ISBN:
9783319237510$q(electronic bk.)
Advances in knowledge discovery and management.. Volume 5
Advances in knowledge discovery and management.
Volume 5[electronic resource] /edited by Fabrice Guillet ... [et al.]. - Cham :Springer International Publishing :2016. - xviii, 137 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.6151860-949X ;. - Studies in computational intelligence ;v.379..
This book is a collection of representative and novel works done in Data Mining, Knowledge Discovery, Clustering and Classification that were originally presented in French at the EGC'2013 (Toulouse, France, January 2013) and EGC'2014 Conferences (Rennes, France, January 2014) These conferences were respectively the 13th and 14th editions of this event, which takes place each year and which is now successful and well-known in the French-speaking community. This community was structured in 2003 by the foundation of the French-speaking EGC society (EGC in French stands for "Extraction et Gestion des Connaissances" and means "Knowledge Discovery and Management", or KDM) This book is aiming at all researchers interested in these fields, including PhD or MSc students, and researchers from public or private laboratories. It concerns both theoretical and practical aspects of KDM. The book is structured in two parts called "Applications of KDM to real datasets" and "Foundations of KDM".
ISBN: 9783319237510$q(electronic bk.)
Standard No.: 10.1007/978-3-319-23751-0doiSubjects--Topical Terms:
744342
Data mining
LC Class. No.: QA76.9.D343
Dewey Class. No.: 006.312
Advances in knowledge discovery and management.. Volume 5
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