Advances in Knowledge Discovery and Management

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.