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Series: Lecture Notes in Computer Science
Subseries: Information Systems and Applications, incl. Internet/Web, and HCI , Vol. 4404
Simoff, Simeon; Böhlen, Michael H.; Mazeika, Arturas (Eds.)
2008, X, 407 p., Softcover
ISBN: 978-3-540-71079-0
About this book
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:
- SVM classifiers
- association rules mining
- clustering
- context visualizations
- data mining
- decision trees
- density surfaces
- multiple views
- network pattern mining
- pattern mining
- text visualizations
- visual analytics
- visual data mining
- visual exploration
- visual hierarchical heavy hitters
- visual interpretation
Visual Data Mining-Springer-2008.pdf
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