Advances in Knowledge Discovery and Management Volume 6 /

This book presents a collection of representative and novel work in the field of data mining, knowledge discovery, clustering and classification, based on expanded and reworked versions of a selection of the best papers originally presented in French at the EGC 2014 and EGC 2015 conferences held in...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Guillet, Fabrice (Editor), Pinaud, Bruno (Editor), Venturini, Gilles (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edition:1st ed. 2017.
Series:Studies in Computational Intelligence, 665
Subjects:
Data mining.
Computational intelligence.
Artificial intelligence.
Data Mining and Knowledge Discovery.
Computational Intelligence.
Artificial Intelligence.
Online Access:Full-text access
Description
Summary:This book presents a collection of representative and novel work in the field of data mining, knowledge discovery, clustering and classification, based on expanded and reworked versions of a selection of the best papers originally presented in French at the EGC 2014 and EGC 2015 conferences held in Rennes (France) in January 2014 and Luxembourg in January 2015. The book is in three parts: The first four chapters discuss optimization considerations in data mining. The second part explores specific quality measures, dissimilarities and ultrametrics. The final chapters focus on semantics, ontologies and social networks. Written for PhD and MSc students, as well as researchers working in the field, it addresses both theoretical and practical aspects of knowledge discovery and management.
Physical Description:XXI, 278 p. 81 illus., 61 illus. in color. online resource.
ISBN:9783319457635
ISSN:1860-9503 ;
DOI:10.1007/978-3-319-45763-5

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