Advances in Knowledge Discovery and Management - Volume 7 (Hardcover, 1st ed. 2018)

This book is a collection of representative and novel works in the field of data mining, knowledge discovery, clustering and classification. Discussing both theoretical and practical aspects of "Knowledge Discovery and Management" (KDM), it is intended for researchers interested in these fields, including PhD and MSc students, and researchers from public or private laboratories. The contributions included are extended and reworked versions of six of the best papers that were originally presented in French at the EGC'2016 conference held in Reims (France) in January 2016. This was the 16th edition of this successful conference, which takes place each year, and also featured workshops and other events with the aim of promoting exchanges between researchers and companies concerned with KDM and its applications in business, administration, industry and public organizations. For more details about the EGC society, please consult egc.asso.fr.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 732
Release date:	October 2017
First published:	2018
Editors:	Bruno Pinaud • Fabrice Guillet • Bruno Cremilleux • Cyril De Runz
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	147
Edition:	1st ed. 2018
ISBN-13:	978-3-319-65405-8
Categories:	Books > Business & Economics > Business & management > Management of specific areas > General Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-319-65405-5
Barcode:	9783319654058

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