Visual Data Mining: Theory, Techniques and Tools for Visual Analytics (Lecture Notes in Computer Science)
By Simeon J. Simoff, Michael Böhlen, Arturas Mazeika
* Publisher: Springer
* Number Of Pages: 407
* Publication Date: 2008-08-01
* ISBN-10 / ASIN: 3540710795
* ISBN-13 / EAN: 9783540710790
* Binding: Hardcover
Product Description:
The importance of visual data mining, as a strong sub-discipline of data mining, was at the beginning of this 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.
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