ENGLISH

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

By Simeon J. Simoff , Michael H. Böhlen , Arturas Mazeika (auth.) , Arturas Mazeika (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2008
ISBN
3540710795, 9783540710790
DOI
10.1007/978-3-540-71080-6
Language
english
Format
PDF
Filesize
4 MB (3785658 bytes)
Series
Lecture Notes in Computer Science 4404 : Information Systems and Applications, incl. Internet/Web, and HCI
Edition
1
Pages
407\163
Library
Kolxo3
Time added
2010-02-05 01:51:52
Data Mining and Knowledge Discovery; Computer Grap

Description

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.

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