Inventing Discovery Tools: Combining Information Visualization with Data Mining*
Author: Ben Shneiderman.
Source: Lecture Notes in Artificial Intelligence Vol. 2225, 2001, 58.
Abstract. 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.
*The full version of this paper is published in the Proceedings of the 4th International Conference on Discovery Science, Lecture Notes in Artificial Intelligence Vol. 2226,
pp. 17 - 28.
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