Advances in Knowledge Discovery and Management: Volume 7
Author:   Bruno Pinaud ,  Fabrice Guillet ,  Bruno Cremilleux ,  Cyril de Runz
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2018
Volume:   732
ISBN:  

9783319654058


Pages:   147
Publication Date:   18 October 2017
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Advances in Knowledge Discovery and Management: Volume 7


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Overview

This book is a collection of representative and novel works in the field of data mining, knowledge discovery, clustering and classification. Discussing both theoretical and practical aspects of “Knowledge Discovery and Management” (KDM), it is intended for researchers interested in these fields, including PhD and MSc students, and researchers from public or private laboratories. The contributions included are extended and reworked versions of six of the best papers that were originally presented in French at the EGC’2016 conference held in Reims (France) in January 2016. This was the 16th edition of this successful conference, which takes place each year, and also featured workshops and other events with the aim of promoting exchanges between researchers and companies concerned with KDM and its applications in business, administration, industry and public organizations. For more details about the EGC society, please consult egc.asso.fr.

Full Product Details

Author:   Bruno Pinaud ,  Fabrice Guillet ,  Bruno Cremilleux ,  Cyril de Runz
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2018
Volume:   732
Weight:   3.731kg
ISBN:  

9783319654058


ISBN 10:   3319654055
Pages:   147
Publication Date:   18 October 2017
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

A Combined Approach for Ontology Enrichment from Textual and Open Data.- C-SPARQL Extension for Sampling RDF Graphs Streams.- Efficiency Analysis of ASP Encodings for Sequential Pattern Mining Tasks.

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