Fabrice Guillet, Gilbert Ritschard and Djamel Abdelkader Zighed (eds),
« Advances In Knowledge Discovery and Management, Volume 2 »,
Series: Studies in Computational Intelligence,
Volume 398, 2012, Springer.
ISBN: 978-3-642-25837-4, DOI: 10.1007/978-3-642-25838-1.
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About this book
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.
Written for
Engineers, researchers, and graduate students in computer science
Keywords
Knowledge Discovery, Knowledge Management, Data Mining, Knowledge Engineering, Applications
Table des matières
Part I — Data Cube and Ontology-based representations
- Rosine Cicchetti, Lotfi Lakhal, and Sébastien Nedjar:
Constrained Closed and Quotient Cubes. 3-26 - Hanen Brahmi, Tarek Hamrouni, Riadh Ben Messaoud, and Sadok Ben Yahia:
A New Concise and Exact Representation of Data Cubes. 27-48 - Michel Buffa and Catherine Faron-Zucker:
Ontology-Based Access Rights Management. 49-62 - Souhir Gahbiche, Nathalie Pernelle, and Fatiha Saïs:
Explaining Reference Reconciliation Decisions: a Coloured Petri Nets based approach. 63-84
Part II — Efficient Pattern Mining
- Mehdi Khiari, Patrice Boizumault, and Bruno Crémilleux:
Combining Constraint Programming and Constraint-based Mining for Pattern Discovery. 85-104 - Marc Boullé:
Simultaneous Partitioning of Input and Class Variables for Supervised Classification Problems with Many Classes. 105-120 - Lionel Martin, Matthieu Exbrayat, Guillaume Cleuziou, and Frédéric Moal:
Interactive and progressive constraint definition for dimensionality reduction and visualization. 121-138 - Anne Laurent, Benjamin Négrevergne, Nicolas Sicard, and Alexandre Termier:
Efficient parallel mining of gradual patterns on multicore processors. 139-156
Part III — Data Preprocessing and Information Retrieval
- Mickael Coustaty, Vincent Courboulay, and Jean-Marc Ogier:
Analyzing Old Documents Using a Complex Approach: application to lettrines indexing. 157-174 - Marc Joliveau:
Identifying relevant features of images from their 2-D topology. 175-192 - Radja Messai and Michel Simonet and Nathalie Bricon-Souf and Mireille Mousseau:
Analyzing Health Consumer Terminology for Query Reformulation Tasks. 193-214 - Patrick Bosc, Allel Hadjali, Olivier Pivert, and Grégory Smits:
An approach based on predicate correlation to the reduction of plethoric answer sets. 215-236