
Advances in Knowledge Discovery and Management
Volume 2
Springer (Publisher)
Published on 13. February 2012
Book
Hardback
XII, 244 pages
978-3-642-25837-4 (ISBN)
Description
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.
More details
Series
Edition
2012
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
XII, 244 p.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 17 mm
Weight
553 gr
ISBN-13
978-3-642-25837-4 (9783642258374)
DOI
10.1007/978-3-642-25838-1
Schweitzer Classification
Other editions
Additional editions

Fabrice Guillet | Gilbert Ritschard | Djamel Abdelkader Zighed
Advances in Knowledge Discovery and Management
Volume 2
Book
04/2014
Springer
€160.49
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Fabrice Guillet | Gilbert Ritschard | Djamel Abdelkader Zighed
Advances in Knowledge Discovery and Management
Volume 2
E-Book
02/2012
Springer
€149.79
Available for download
Persons
Content
Part I Data Cube and Ontology-based representations.- Part II Efficient Pattern Mining.- Part III Data Preprocessing and Information Retrieval.