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Advances in Knowledge Discovery and Management de Fabrice Guillet

Advances in Knowledge Discovery and Management: Studies in Computational Intelligence, cartea 471

Editat de Fabrice Guillet, Bruno Pinaud, Gilles Venturini, Djamel Abdelkader Zighed
en Limba Engleză Paperback – 29 ian 2015
The recent and novel research contributions collected in this book are extended and
reworked versions of a selection of the best papers that were originally presented in
French at the EGC’2011 Conference held in Brest, France, on January 2011.
EGC stands for "Extraction et Gestion des connaissances" in French, and means "Knowledge Discovery and Management" or KDM.
KDM is concerned with the works in computer science at the interface between data and knowledge; such as Data Mining, Knowledge Discovery, Business Intelligence, Knowledge Engineering and Semantic Web.

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.

This book has been structured in two parts.
The first part, entitled “Data Mining, classification and queries”, deals with rule and pattern mining, with topological approaches
and with OLAP.
The second part of the book, entitled “Ontology and Semantic”, is related
to knowledge-based and user-centered approaches in KDM.


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Specificații

ISBN-13: 9783642433481
ISBN-10: 3642433480
Pagini: 222
Ilustrații: XVIII, 222 p.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.34 kg
Ediția:2013
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Part I Data Mining, classification and queries.-
Part II Ontology and semantic.

Textul de pe ultima copertă

The recent and novel research contributions collected in this book are extended and
reworked versions of a selection of the best papers that were originally presented in
French at the EGC’2011 Conference held in Brest, France, on January 2011.
EGC stands for "Extraction et Gestion des connaissances" in French, and means "Knowledge Discovery and Management" or KDM.
KDM is concerned with the works in computer science at the interface between data and knowledge; such as Data Mining, Knowledge Discovery, Business Intelligence, Knowledge Engineering and Semantic Web.

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.

This book has been structured in two parts.
The first part, entitled “Data Mining, classification and queries”, deals with rule and pattern mining, with topological approaches
and with OLAP.
The second part of the book, entitled “Ontology and Semantic”, is related
to knowledge-based and user-centered approaches in KDM.

Caracteristici

Recent Research in Knowledge Discovery and Management Carefully edited postproceedings book Written by a leading expert in the field

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)