Advances in Knowledge Discovery and Management: Volume 5: Studies in Computational Intelligence, cartea 615
Editat de Fabrice Guillet, Bruno Pinaud, Gilles Venturini, Djamel Abdelkader Zigheden Limba Engleză Paperback – 23 aug 2016
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".
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Specificații
ISBN-13: 9783319373690
ISBN-10: 3319373692
Pagini: 137
Ilustrații: XVIII, 137 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.23 kg
Ediția:Softcover reprint of the original 1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3319373692
Pagini: 137
Ilustrații: XVIII, 137 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.23 kg
Ediția:Softcover reprint of the original 1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
Cuprins
Part I Applications of KDM to Real datasets.- Part II Foundations of KDM.
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'2013 (Toulouse, France, January 2013) and EGC'2014 Conferences (Rennes, France, January 2014). These conferences were respectively the 13th and 14th editions 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 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".
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".
Caracteristici
Recent research in Knowledge Discovery and Management Carefully edited post-proceedings book Written by a experts in the field of Knowledge Discovery and Management Includes supplementary material: sn.pub/extras
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)