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Advances in Knowledge Discovery and Management (Hardcover, 2013 ed.) Loot Price: R3,738
Discovery Miles 37 380
Advances in Knowledge Discovery and Management (Hardcover, 2013 ed.): Fabrice Guillet, Bruno Pinaud, Gilles Venturini, Djamel...

Advances in Knowledge Discovery and Management (Hardcover, 2013 ed.)

Fabrice Guillet, Bruno Pinaud, Gilles Venturini, Djamel Abdelkader Zighed

Series: Studies in Computational Intelligence, 471

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Loot Price R3,738 Discovery Miles 37 380 | Repayment Terms: R350 pm x 12*

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The recent and novel research contributions collected in this book are extended and
reworked versions of a selection of the best papers that were originally presented in
French at the EGC 2011 Conference held in Brest, France, on January 2011.
EGC stands for "Extraction et Gestion des connaissances" in French, and means "Knowledge Discovery and Management" or KDM.
KDM is concerned with the works in computer science at the interface between data and knowledge; such as Data Mining, Knowledge Discovery, Business Intelligence, Knowledge Engineering and Semantic Web.
This book is intended to be read by 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.
This book has been structured in two parts.
The first part, entitled Data Mining, classification and queries, deals with rule and pattern mining, with topological approaches
and with OLAP.
The second part of the book, entitled Ontology and Semantic, is related
to knowledge-based and user-centered approaches in KDM.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Computational Intelligence, 471
Release date: December 2012
First published: 2013
Editors: Fabrice Guillet • Bruno Pinaud • Gilles Venturini • Djamel Abdelkader Zighed
Dimensions: 235 x 155 x 14mm (L x W x T)
Format: Hardcover
Pages: 222
Edition: 2013 ed.
ISBN-13: 978-3-642-35854-8
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-642-35854-3
Barcode: 9783642358548

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