<p><p>This book is a collection of representative and novel works done in Data Mining, Knowledge Discovery, Clustering and Classification that were originally presented in French at the EGC'2012 Conference held in Bordeaux, France, on January 2012. This conference was the 12th edition of this event,
Advances in Knowledge Discovery and Management: Volume 2
โ Scribed by Rosine Cicchetti, Lotfi Lakhal, Sรฉbastien Nedjar (auth.), Fabrice Guillet, Gilbert Ritschard, Djamel Abdelkader Zighed (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2012
- Tongue
- English
- Leaves
- 235
- Series
- Studies in Computational Intelligence 398
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
โฆ Table of Contents
Front Matter....Pages 1-11
Front Matter....Pages 1-1
Constrained Closed and Quotient Cubes....Pages 3-26
A New Concise and Exact Representation of Data Cubes....Pages 27-48
Ontology-Based Access Rights Management....Pages 49-61
Explaining Reference Reconciliation Decisions: A Coloured Petri Nets Based Approach....Pages 63-81
Front Matter....Pages 83-83
Combining Constraint Programming and Constraint-Based Mining for Pattern Discovery....Pages 85-103
Simultaneous Partitioning of Input and Class Variables for Supervised Classification Problems with Many Classes....Pages 105-119
Interactive and Progressive Constraint Definition for Dimensionality Reduction and Visualization....Pages 121-136
Efficient Parallel Mining of Gradual Patterns on Multicore Processors....Pages 137-151
Front Matter....Pages 153-153
Analyzing Old Documents Using a Complex Approach: Application to Lettrines Indexing....Pages 155-171
Identifying Relevant Features of Images from Their 2-D Topology....Pages 173-190
Analyzing Health Consumer Terminology for Query Reformulation Tasks....Pages 191-211
An Approach Based on Predicate Correlation to the Reduction of Plethoric Answer Sets....Pages 213-233
Back Matter....Pages 0--1
โฆ Subjects
Computational Intelligence; Artificial Intelligence (incl. Robotics)
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