Advances in Knowledge Discovery and Management: Volume 4: Studies in Computational Intelligence, cartea 527
Editat de Fabrice Guillet, Bruno Pinaud, Gilles Venturini, Djamel Abdelkader Zigheden Limba Engleză Hardback – 8 noi 2013
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.
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Specificații
ISBN-13: 9783319029986
ISBN-10: 3319029983
Pagini: 192
Ilustrații: XVI, 175 p. 63 illus., 25 illus. in color.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.45 kg
Ediția:2014
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3319029983
Pagini: 192
Ilustrații: XVI, 175 p. 63 illus., 25 illus. in color.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.45 kg
Ediția:2014
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
Public țintă
ResearchCuprins
Part I Knowledge Discovery and Data Mining.- Part II Classification and Feature Extraction or Selection.
Recenzii
From the reviews:
“All nine chapters of this volume are extensions or revisions of papers that were presented at the 12th Francophone International Conference on Knowledge Discovery and Management, held in Bordeaux, France, in 2012. … The primary market for the book includes researchers in academia and in labs, whose primary focus includes knowledge discovery, data mining, classification, and feature extraction.” (J. Hodges, Computing Reviews, February, 2014)
“All nine chapters of this volume are extensions or revisions of papers that were presented at the 12th Francophone International Conference on Knowledge Discovery and Management, held in Bordeaux, France, in 2012. … The primary market for the book includes researchers in academia and in labs, whose primary focus includes knowledge discovery, data mining, classification, and feature extraction.” (J. Hodges, Computing Reviews, February, 2014)
Textul de pe ultima copertă
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.
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.
Caracteristici
Recent research in Knowledge Discovery and Management Carefully edited post-proceedings book Written by a leading expert in the field