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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Simoff, Simeon (Editor ), Böhlen, Michael H. (Editor ), Mazeika, Arturas (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Information Systems and Applications, incl. Internet/Web, and HCI ; 4404
Temas:
Data mining.
Computer graphics.
Database management.
Information storage and retrieval systems.
Data Mining and Knowledge Discovery.
Computer Graphics.
Database Management.
Information Storage and Retrieval.
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:X, 407 p. online resource.
ISBN:9783540710806

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