Inventing Discovery Tools: Combining Information Visualization with Data Mining

TitleInventing Discovery Tools: Combining Information Visualization with Data Mining
Publication TypeBook Chapters
Year of Publication2001
AuthorsShneiderman B
EditorJantke K, Shinohara A
Book TitleDiscovery Science
Series TitleLecture Notes in Computer Science
Volume2226
Pagination17 - 28
PublisherSpringer Berlin / Heidelberg
ISBN Number978-3-540-42956-2
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.

URLhttp://dx.doi.org/10.1007/3-540-45650-3_4