(PDF 英文版)
by Simeon J. Simoff, Michael B?hlen, Arturas Mazeika
Hardcover: 407 pages
Publisher: Springer (August 1, 2008)
ISBN-10: 3540710795
ISBN-13: 978-3540710790
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.
Keywords:
3DVDM
SVM classifiers
VDM
assoziation mining
clustering
context visualization
data mining
decision tree
hitters
mining patterns
multiple views invironment
nested surfaces
network patterns
text visualization
visual analytics
visual data mining
visual exploration
visual interpretation
visualization
详细介绍在此:http://www.springer.com/book/978-3-540-71079-0