Visual Data Mining 2008

Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika (Eds.): Visual Data Mining - Theory, Techniques and Tools for Visual Analytics. Lecture Notes in Computer Science Vol. 4404 Springer 2008, ISBN 978-3-540-71079-0

Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika:
Visual Data Mining: An Introduction and Overview. 1-12

Theory and Methodologies

Michael H. Böhlen, Linas Bukauskas, Arturas Mazeika, Peer Mylov:
The 3DVDM Approach: A Case Study with Clickstream Data. 13-29
Simeon J. Simoff:
Form-Semantics-Function - A Framework for Designing Visual Data Representations for Visual Data Mining. 30-45
Alípio Jorge, João Poças, Paulo J. Azevedo:
A Methodology for Exploring Association Models. 46-59
Li Yang:
Visual Exploration of Frequent Itemsets and Association Rules. 60-75
Daniel A. Keim, Florian Mansmann, Jörn Schneidewind, Jim Thomas, Hartmut Ziegler:
Visual Analytics: Scope and Challenges. 76-90

Arturas Mazeika, Michael H. Böhlen, Peer Mylov:
Using Nested Surfaces for Visual Detection of Structures in Databases. 91-102
Dario Bruzzese, Cristina Davino:
Visual Mining of Association Rules. 103-122
François Poulet, Thanh-Nghi Do:
Interactive Decision Tree Construction for Interval and Taxonomical Data. 123-135
Doina Caragea, Dianne Cook, Hadley Wickham, Vasant Honavar:
Visual Methods for Examining SVM Classifiers. 136-153
John Risch, Anne Kao, Steve Poteet, Yuan-Jye Jason Wu:
Text Visualization for Visual Text Analytics. 154-171
Simeon J. Simoff, John Galloway:
Visual Discovery of Network Patterns of Interaction between Attributes. 172-195
José Fernando Rodrigues Jr., Agma J. M. Traina, Caetano Traina Jr.:
Mining Patterns for Visual Interpretation in a Multiple-Views Environment. 196-214
Daniel Trivellato, Arturas Mazeika, Michael H. Böhlen:
Using 2D Hierarchical Heavy Hitters to Investigate Binary Relationships. 215-235
Monique Noirhomme-Fraiture, Olivier Schöller, Christophe Demoulin, Simeon J. Simoff:
Complementing Visual Data Mining with the Sound Dimension: Sonification of Time Dependent Data. 236-247
Mao Lin Huang, Quang Vinh Nguyen:
Context Visualization for Visual Data Mining. 248-263
Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika:
Assisting Human Cognition in Visual Data Mining. 264-280

Henrik R. Nagel, Erik Granum, Søren Bovbjerg, Michael Vittrup:
Immersive Visual Data Mining: The 3DVDM Approach. 281-311
Mihael Ankerst, Anne Kao, Rodney Tjoelker, Changzhou Wang:
DataJewel: Integrating Visualization with Temporal Data Mining. 312-330
Stephen Kimani, Tiziana Catarci, Giuseppe Santucci:
A Visual Data Mining Environment. 331-366
Paul J. Kennedy, Simeon J. Simoff, Daniel R. Catchpoole, David B. Skillicorn, Franco Ubaudi, Ahmad Al-Oqaily:
Integrative Visual Data Mining of Biomedical Data: Investigating Cases in Chronic Fatigue Syndrome and Acute Lymphoblastic Leukaemia. 367-388
François Poulet:
Towards Effective Visual Data Mining with Cooperative Approaches. 389-406

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