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Visual Data Mining: Theory, Techniques and Tools for Visual Analytics PDF

163 Pages·2008·3.61 MB·English
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About 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 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.

Detailed Information

Author:Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika (auth.), Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika (eds.)
Publication Year:2008
ISBN:9783540710790
Pages:163
Language:English
File Size:3.61
Format:PDF
Price:FREE
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