
Advances in Knowledge Discovery and Management
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.
Discuss Advances in Knowledge Discovery and Management with other readers
Join or start a book club for Advances in Knowledge Discovery and Management on Readfeed. Live chat, shared reading progress, and AI discussion questions — free to get started.
Frequently asked questions
How do I join a book club for Advances in Knowledge Discovery and Management?
Sign up free on Readfeed, then browse public clubs or start your own club with Advances in Knowledge Discovery and Management as the current read. Invite friends with a share link and discuss together with live chat and AI discussion questions.
Can I discuss Advances in Knowledge Discovery and Management with other readers online?
Yes. Readfeed book clubs let you chat live, share progress, and join discussions about Advances in Knowledge Discovery and Management with readers worldwide — whether your club is virtual, in-person, or hybrid.
Is Readfeed free?
Yes. Creating an account and joining book clubs is free. Sign up to find readers who love the same books and start discussing today.