Advances in Knowledge Discovery and Management
Fabrice Guillet ยท Bruno Pinaud ยท Gilles Venturini ยท Djamel Abdelkader Zighed
แแแ. 2012 ยท Springer
แแแฌแแแแ
222
แแแแ แแ
reportแ แแแขแแแแแแ แแ แแแแแฎแแแแแแ แแแฃแแแกแขแฃแ แแแแแแ ย แจแแแขแงแแแ แแแขแ
แแ แแแฌแแแแแก แจแแกแแฎแแ
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 EGCโ2011 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 โData Mining, classification and queriesโ, deals with rule and pattern mining, with topological approaches
and with OLAP.
The second part of the book, entitled โOntology and Semanticโ, is related
to knowledge-based and user-centered approaches in KDM.
reworked versions of a selection of the best papers that were originally presented in
French at the EGCโ2011 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 โData Mining, classification and queriesโ, deals with rule and pattern mining, with topological approaches
and with OLAP.
The second part of the book, entitled โOntology and Semanticโ, is related
to knowledge-based and user-centered approaches in KDM.
แจแแแคแแกแแ แแก แแแฌแแแแ
แแแแแฎแแ แแ แแฅแแแแ แแแ แ.
แแแคแแ แแแชแแ แฌแแแแแฎแแแกแแแ แแแแแแจแแ แแแแ
แกแแแ แขแคแแแแแ แแ แขแแแแแขแแแ
แแแแแแกแขแแแแ แแ Google Play Books แแแ Android แแ iPad/iPhone แแแฌแงแแแแแแแแแแกแแแแก. แแก แแแขแแแแขแฃแ แแ แแแแแฎแแ แชแแแแแแก แกแแแฅแ แแแแแแชแแแก แแฅแแแแก แแแแแ แแจแแแ แแ แกแแจแฃแแแแแแก แแแแชแแแ, แฌแแแแแแฎแแ แกแแกแฃแ แแแแ แแแแขแแแขแ แแแแแกแแแแ แแแแแแแก, แ แแแแ แช แแแแแแ, แแกแ แฎแแแแแ แแจแ แ แแแแแจแ.
แแแแขแแแแแ แแ แแแแแแฃแขแแ แแแ
Google Play-แจแ แจแแซแแแแแ แแฃแแแแฌแแแแแแแก แแแกแแแแ แแฅแแแแ แแแแแแฃแขแแ แแก แแแ-แแ แแฃแแแ แแก แแแแแงแแแแแแ แจแแแแซแแแแ.
แแแฌแแแแแแฎแแแแแแ แแ แกแฎแแ แแแฌแงแแแแแแแแแ
แแแแฅแขแ แแแฃแแ แแแแแแก แแแฌแงแแแแแแแแแแ แฌแแกแแแแแฎแแ, แ แแแแ แแชแแ Kobo eReaders, แแฅแแแ แฃแแแ แฉแแแแขแแแ แแแ แคแแแแ แแ แแแแแแขแแแแ แแแ แแฅแแแแก แแแฌแงแแแแแแแแจแ. แแแฎแแแ แแแแก แชแแแขแ แแก แแแขแแแฃแ แ แแแกแขแ แฃแฅแชแแแแแก แแแฎแแแแแ แแแแแแขแแแแ แคแแแแแแ แแฎแแ แแแญแแ แแ แแแฌแแแแแแฎแแแแแแแ.
