Visual Data Mining 2008

• Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika:
  Visual Data Mining: An Introduction and Overview. 1-12
  Electronic Edition (link) BibTeX

Theory and Methodologies

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

Techniques

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

Tools and Applications

• Henrik R. Nagel, Erik Granum, Søren Bovbjerg, Michael Vittrup:
  Immersive Visual Data Mining: The 3DVDM Approach. 281-311
  Electronic Edition (link) BibTeX
• Mihael Ankerst, Anne Kao, Rodney Tjoelker, Changzhou Wang:
  DataJewel: Integrating Visualization with Temporal Data Mining. 312-330
  Electronic Edition (link) BibTeX
• Stephen Kimani, Tiziana Catarci, Giuseppe Santucci:
  A Visual Data Mining Environment. 331-366
  Electronic Edition (link) BibTeX
• 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
  Electronic Edition (link) BibTeX
• François Poulet:
  Towards Effective Visual Data Mining with Cooperative Approaches. 389-406
  Electronic Edition (link) BibTeX