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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
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.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
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Taschenbuch. Zustand: Neu. Advances in Knowledge Discovery and Management | Fabrice Guillet (u. a.) | Taschenbuch | Studies in Computational Intelligence | xviii | Englisch | 2015 | Springer | EAN 9783642433481 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Artikel-Nr. 104629792
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The recent and novel research contributions collected in this book are extended andreworked versions of a selection of the best papers that were originally presented inFrench 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, includingPhD or MSc students, and researchers from public or private laboratories. Itconcerns 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 approachesand with OLAP.The second part of the book, entitled 'Ontology and Semantic', is relatedto knowledge-based and user-centered approaches in KDM. Artikel-Nr. 9783642433481
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