During the last decade, Knowledge Discovery and Management (KDM
or, in French, EGC for Extraction et Gestion des connaissances) has
been an intensive and fruitful research topic in the
French-speaking scientific community. In 2003, this enthusiasm for
KDM led to the foundation of a specific French-speaking
association, called EGC, dedicated to supporting and promoting this
topic. More precisely, KDM is concerned with the interface between
knowledge and data such as, among other things, Data Mining,
Knowledge Discovery, Business Intelligence, Knowledge Engineering
and Semantic Web. 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 2010 Conference held in Tunis, Tunisia in January
2010.
The volume is organized in three parts. Part I includes four
chapters concerned with various aspects of Data Cube and
Ontology-based representations. Part II is composed of four
chapters concerned with Efficient Pattern Mining issues, while in
Part III the last four chapters address Data Preprocessing and
Information Retrieval.
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