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Advances in Knowledge Discovery and Management

✍ Scribed by Dominique Gay, Marc Boullé (auth.), Fabrice Guillet, Bruno Pinaud, Gilles Venturini, Djamel Abdelkader Zighed (eds.)

Publisher
Springer-Verlag Berlin Heidelberg
Year
2013
Tongue
English
Leaves
229
Series
Studies in Computational Intelligence 471
Edition
1
Category
Library
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✦ Synopsis

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’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.

✦ Table of Contents

Front Matter....Pages 1-15
Front Matter....Pages 1-1
A Bayesian Criterion for Evaluating the Robustness of Classification Rules in Binary Data Sets....Pages 3-21
Mining Sequential Patterns: A Context-Aware Approach....Pages 23-41
Comparison of Proximity Measures: A Topological Approach....Pages 43-58
Comparing Two Discriminant Probabilistic Interestingness Measures for Association Rules....Pages 59-83
A New Way for Hierarchical and Topological Clustering....Pages 85-97
Summarizing and Querying Logs of OLAP Queries....Pages 99-124
Front Matter....Pages 125-125
A Complete Life-Cycle for the Semantic Enrichment of Folksonomies....Pages 127-150
Ontology-Based Formal Specifications for User-Friendly Geospatial Data Discovery....Pages 151-176
Methods and Tools for Automatic Construction of Ontologies from Textual Resources: A Framework for Comparison and Its Application....Pages 177-201
User Centered Cognitive Maps....Pages 203-220
Back Matter....Pages 0--1

✦ Subjects

Computational Intelligence; Artificial Intelligence (incl. Robotics)

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