Advances in Knowledge Discovery and Management
By: edited by Fabrice Guillet, Bruno Pinaud, Gilles Venturini, Djamel Abdelkader Zighed
Contributors: Pinaud, Bruno; Venturini, Gilles; Zighed, Djamel Abdelkader; SpringerLink (Online service)
Series: Studies in Computational Intelligence -- 471
Publisher: Springer Berlin Heidelberg; Imprint: Springer
Published: 2013
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 221
ISBN-13: 9783642358555
Subjects: Engineering; Computational intelligence; Artificial intelligence; Artificial Intelligence (incl. Robotics)
Description: The recent and novel research contributions collected in this book are extended and<br>reworked versions of a selection of the best papers that were originally presented in<br>French at the EGC’2011 Conference held in Brest, France, on January 2011.<br>EGC stands for "Extraction et Gestion des connaissances" in French, and means "Knowledge Discovery and Management" or KDM.<br>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. <br><br>This book is intended to be read by all researchers interested in these fields, including<br>PhD or MSc students, and researchers from public or private laboratories. It<br>concerns both theoretical and practical aspects of KDM.<br><br>This book has been structured in two parts. <br>The first part, entitled “Data Mining, classification and queries”, deals with rule and pattern mining, with topological approaches<br>and with OLAP.<br>The second part of the book, entitled “Ontology and Semantic”, is related<br>to knowledge-based and user-centered approaches in KDM.<br><br>