The dynamic HomeFinder: evaluating dynamic queries in a real-estate information exploration system
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Visual information seeking: tight coupling of dynamic query filters with starfield displays
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A case for interaction: a study of interactive information retrieval behavior and effectiveness
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Data mining solutions: methods and tools for solving real-world problems
Data mining solutions: methods and tools for solving real-world problems
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Towards an effective cooperation of the user and the computer for classification
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Data mining: concepts and techniques
Data mining: concepts and techniques
Interactive machine learning: letting users build classifiers
International Journal of Human-Computer Studies
Computer Power and Human Reason: From Judgment to Calculation
Computer Power and Human Reason: From Judgment to Calculation
HD-Eye: Visual Mining of High-Dimensional Data
IEEE Computer Graphics and Applications
Interactive Exploration of Time Series Data
DS '01 Proceedings of the 4th International Conference on Discovery Science
Hypothesis oriented cluster analysis in data mining by visualization
Proceedings of the working conference on Advanced visual interfaces
A Prediction-Based Visual Approach for Cluster Exploration and Cluster Validation by HOV3
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
A Visual Method for High-Dimensional Data Cluster Exploration
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Window Watcher: a visualisation tool for understanding windowing activities
OZCHI '09 Proceedings of the 21st Annual Conference of the Australian Computer-Human Interaction Special Interest Group: Design: Open 24/7
Exploring personal media: A spatial interface supporting user-defined semantic regions
Journal of Visual Languages and Computing
Enhanced visual separation of clusters by M-mapping to facilitate cluster analysis
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Editorial: Challenging problems of geospatial visual analytics
Journal of Visual Languages and Computing
HOV3: an approach to visual cluster analysis
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
A knowledge integration framework for information visualization
From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments
GD'12 Proceedings of the 20th international conference on Graph Drawing
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The growing use of information visualization tools and data mining algorithms stems from two separate lines of research. Information visualization researchers believe in the importance of giving users an overview and insight into the data distributions, while data mining researchers believe that statistical algorithms and machine learning can be relied on to find the interesting patterns. This paper discusses two issues that influence design of discovery tools: statistical algorithms vs. visual data presentation, and hypothesis testing vs. exploratory data analysis. I claim that a combined approach could lead to novel discovery tools that preserve user control, enable more effective exploration, and promote responsibility.