Advances in Knowledge Discovery and Management - Volume 6 (Paperback, Softcover reprint of the original 1st ed. 2017)


This book presents a collection of representative and novel work in the field of data mining, knowledge discovery, clustering and classification, based on expanded and reworked versions of a selection of the best papers originally presented in French at the EGC 2014 and EGC 2015 conferences held in Rennes (France) in January 2014 and Luxembourg in January 2015. The book is in three parts: The first four chapters discuss optimization considerations in data mining. The second part explores specific quality measures, dissimilarities and ultrametrics. The final chapters focus on semantics, ontologies and social networks. Written for PhD and MSc students, as well as researchers working in the field, it addresses both theoretical and practical aspects of knowledge discovery and management.

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Product Description

This book presents a collection of representative and novel work in the field of data mining, knowledge discovery, clustering and classification, based on expanded and reworked versions of a selection of the best papers originally presented in French at the EGC 2014 and EGC 2015 conferences held in Rennes (France) in January 2014 and Luxembourg in January 2015. The book is in three parts: The first four chapters discuss optimization considerations in data mining. The second part explores specific quality measures, dissimilarities and ultrametrics. The final chapters focus on semantics, ontologies and social networks. Written for PhD and MSc students, as well as researchers working in the field, it addresses both theoretical and practical aspects of knowledge discovery and management.

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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Studies in Computational Intelligence, 665

Release date

June 2018

Availability

Expected to ship within 10 - 15 working days

First published

2017

Editors

, ,

Dimensions

235 x 155 x 16mm (L x W x T)

Format

Paperback

Pages

278

Edition

Softcover reprint of the original 1st ed. 2017

ISBN-13

978-3-319-83368-2

Barcode

9783319833682

Categories

LSN

3-319-83368-5



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