Descripción del título
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
Monografía
monografia Rebiun25181563 https://catalogo.rebiun.org/rebiun/record/Rebiun25181563 m o d cr cnu---unuuu 131104s2013 sz a ob 101 0 eng d 881306192 912397116 1005837151 9783319029993 electronic bk.) 3319029991 electronic bk.) 3319029983 print) 9783319029986 print) 9783319029986 10.1007/978-3-319-02999-3 doi AU@ 000057649770 AU@ 000058378850 NLGGC 389752924 NZ1 15342071 NZ1 15739784 GW5XE eng rda pn GW5XE YDXCP COO OCLCO OCLCF BEDGE OCLCQ OCLCO ZMC A7U UX0 OCLCO OCL OCLCO OCLCQ OCLCO DIBIB OCLCO NUI EBLCP OCLCO OCLCQ OCLCO Z5A ESU OCLCQ VT2 IOG CEF U3W WYU YOU OCLCQ eng fre QA lcco UYQ bicssc COM004000 bisacsh 006.312 23 Advances in knowledge discovery and management. Volume 4 Fabrice Guillet, Bruno Pinaud, Gilles Venturini, and Djamel Abdelkader Zighed (eds.). Cham Springer [2013] Cham Cham Springer 1 online resource (xv, 174 pages) illustrations 1 online resource (xv, 174 pages) Text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in computational intelligence 1860-949X volume 527 " ... 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"--Page [III] Includes bibliographical references (pages 218-220) and author index Part I:) Knowledge Discovery and Data Mining -- Optimizing a Hierarchical Community Structure of a Complex Network François Queyroi. -- Nonparametric Hierarchical Clustering of Functional Data Marc Boullé, Romain Guigourès and Fabrice Rossi. -- Multi-view Clustering on Relational Data Francisco de A.T. de Carvalho, Yves Lechevallier, Thierry Despeyroux and Filipe M. de Melo. -- Relaxing Time Granularity for Mining Frequent Sequences Asma Ben Zakour, Sofian Maabout, Mohamed Mosbah and Marc Sistiaga. -- Semantic Event Extraction from Biological Texts Using a Kernel-Based Method Rim Faiz, Maha Amami and Aymen Elkhlifi. -- Supervised Pre-processing of Numerical Variables for Multi-Relational Data Mining Dhafer Lahbib, Marc Boullé and Dominique Laurent -- Part II:) Classification and Feature Extraction or Selection -- Combination of Single Feature Classifiers for Fast Feature Selection Hassan Chouaib, Florence Cloppet and Nicole Vincent. -- Classification of EEG Signals by an Evolutionary Algorithm Laurent Vézard, Pierrick Legrand, Marie Chavent and Frédérique Faïta-Aïnseba. -- Large Scale Image Classification: Fast Feature Extraction, Multi-codebook Approach and Multi-core SVM Training Thanh-Nghi Doan and François Poulet 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 In English, translated from French Data mining Congresses Knowledge management- Congresses Ingénierie. Data mining Knowledge management. Electronic books Ebook Conference papers and proceedings. Guillet, Fabrice editor Pinaud, Bruno editor Venturini, Gilles editor Zighed, Djamel A. 1955-) editor EGC (Conference) 2012 :. Bordeaux, France) Printed edition 9783319029986 Studies in computational intelligence v. 527