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Advances in Knowledge Discovery and Management

Guillet, Fabrice
Zighed, Djamel Abdelkader
Briand, Henri
Publication Berlin Heidelberg: Springer-Verlag, 2010
Collection Studies in Computational Intelligence; 292
Abstract During the last decade, the French-speaking scientific community developed a very strong research activity in the field of Knowledge Discovery and Management (KDM or EGC for “Extraction et Gestion des Connaissances” in French), which is concerned with, among others, Data Mining, Knowledge Discovery, Business Intelligence, Knowledge Engineering and SemanticWeb. 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 2009 Conference held in Strasbourg, France on January 2009. The volume is organized in four parts. Part I includes five papers concerned by various aspects of supervised learning or information retrieval. Part II presents five papers concerned with unsupervised learning issues. Part III includes two papers on data streaming and two on security while in Part IV the last four papers are concerned with ontologies and semantic.
Keywords Computational IntelligenceKnowledge DiscoveryKnowledge Management
ISBN: 978-3-642-00579-4
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GUILLET, Fabrice et al., (eds.). Advances in Knowledge Discovery and Management. Berlin Heidelberg : Springer-Verlag, 2010. (Studies in Computational Intelligence; 292) doi: 10.1007/978-3-642-00580-0 https://archive-ouverte.unige.ch/unige:17376

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Deposited on : 2011-11-09

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