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Visual Data Mining Theory, Techniques and Tools for Visual Analytics /

The importance of visual data mining, as a strong sub-discipline of data mining, had already been recognized in the beginning of the decade. In 2005 a panel of renowned individuals met to address the shortcomings and drawbacks of the current state of visual information processing. The need for a sys...

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Détails bibliographiques
Cote:Libro Electrónico
Collectivité auteur: SpringerLink (Online service)
Autres auteurs: Simoff, Simeon (Éditeur intellectuel), Böhlen, Michael H. (Éditeur intellectuel), Mazeika, Arturas (Éditeur intellectuel)
Format: Électronique eBook
Langue:Inglés
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Édition:1st ed. 2008.
Collection:Information Systems and Applications, incl. Internet/Web, and HCI ; 4404
Sujets:
Accès en ligne:Texto Completo
Description
Résumé:The importance of visual data mining, as a strong sub-discipline of data mining, had already been recognized in the beginning of the decade. In 2005 a panel of renowned individuals met to address the shortcomings and drawbacks of the current state of visual information processing. The need for a systematic and methodological development of visual analytics was detected. This book aims at addressing this need. Through a collection of 21 contributions selected from more than 46 submissions, it offers a systematic presentation of the state of the art in the field. The volume is structured in three parts on theory and methodologies, techniques, and tools and applications.
Description matérielle:X, 407 p. online resource.
ISBN:9783540710806