Advances In Knowledge Discovery And Management: Volume 4 (studies In Computational Intelligence)

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, which takes place each year and which is now successful and well-known in the French-speaking community. This community was structured in 2003 by the foundation of the French-speaking EGC society (EGC in French stands for ``Extraction et Gestion des Connaissances'' and means ``Knowledge Discovery and Management'', or KDM). 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. The book is structured in two parts called ``Knowledge Discovery and Data Mining'' and ``Classification and Feature Extraction or Selection''. The first part (6 chapters) deals with data clustering and data mining. The three remaining chapters of the second part are related to classification and feature extraction or feature selection. Front Matter....Pages 1-15 Front Matter....Pages 1-1 Optimizing a Hierarchical Community Structure of a Complex Network....Pages 3-14 Nonparametric Hierarchical Clustering of Functional Data....Pages 15-35 Multi-view Clustering on Relational Data....Pages 37-51 Relaxing Time Granularity for Mining Frequent Sequences....Pages 53-76 Semantic Event Extraction from Biological Texts Using a Kernel-Based Method....Pages 77-94 Supervised Pre-processing of Numerical Variables for Multi-Relational Data Mining....Pages 95-109 Front Matter....Pages 111-111 Combination of Single Feature Classifiers for Fast Feature Selection....Pages 113-131 Classification of EEG Signals by an Evolutionary Algorithm....Pages 133-153 Large Scale Image Classification: Fast Feature Extraction, Multi-codebook Approach and Multi-core SVM Training....Pages 155-172 Back Matter....Pages 173-174 This 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 Conference 2010- [2019]. These conferences take place each year and which is now successful and well-known in the French-speaking community. This community was structured in 2003 by the foundation of the French-speaking EGC society (EGC in French stands for "Extraction et Gestion des Connaissances" and means "Knowledge Discovery and Management", or KDM). This book is aiming at 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. The book is structured in two parts called "Applications of KDM to real datasets" and "Foundations of KDM."