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Produktbild: Advances in Knowledge Discovery and Management
Band 615

Advances in Knowledge Discovery and Management Volume 5

Fr. 137.00

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

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...

Beschreibung

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".

 

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.08.2016

Herausgeber Fabrice Guillet + weitere
Verlag Springer

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.08.2016

Herausgeber
Verlag Springer
Seitenzahl

137

Maße (L/B/H)

23.5/15.5/0.9 cm

Gewicht

2467 g

Auflage

Softcover reprint of the original 1st ed. 2016

Sprache

Englisch

ISBN

978-3-319-37369-0

Herstelleradresse

Springer International Publishing AG
Gewerbestr. 11
6330 Cham
Schweiz
Url: www.springer.com

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  • Produktbild: Advances in Knowledge Discovery and Management
  • Part I Applications of KDM to Real datasets.- Part II Foundations of KDM.