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Simeon J. Simoff, Michael H. Böhlen and Arturas Mazeika
Front matter
1-12
Visual Data Mining: An Introduction and Overview
13-29
The 3DVDM Approach: A Case Study with Clickstream Data
30-45
Form-Semantics-Function – A Framework for Designing Visual Data Representations for Visual Data Mining
46-59
A Methodology for Exploring Association Models
60-75
Visual Exploration of Frequent Itemsets and Association Rules
76-90
Visual Analytics: Scope and Challenges
91-102
Using Nested Surfaces for Visual Detection of Structures in Databases
103-122
Visual Mining of Association Rules
123-135
Interactive Decision Tree Construction for Interval and Taxonomical Data
136-153
Visual Methods for Examining SVM Classifiers
154-171
Text Visualization for Visual Text Analytics
172-195
Visual Discovery of Network Patterns of Interaction between Attributes
196-214
Mining Patterns for Visual Interpretation in a Multiple-Views Environment
215-235
Using 2D Hierarchical Heavy Hitters to Investigate Binary Relationships
236-247
Complementing Visual Data Mining with the Sound Dimension: Sonification of Time Dependent Data
248-263
Context Visualization for Visual Data Mining
264-280
Assisting Human Cognition in Visual Data Mining
281-311
Immersive Visual Data Mining: The 3DVDM Approach
312-330
DataJewel: Integrating Visualization with Temporal Data Mining
331-366
A Visual Data Mining Environment
367-388
Integrative Visual Data Mining of Biomedical Data: Investigating Cases in Chronic Fatigue Syndrome and Acute Lymphoblastic Leukaemia
389-406
Towards Effective Visual Data Mining with Cooperative Approaches
Back matter
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