Intelligent Icons: Integrating Lite-Weight Data Mining and Visualization into GUI Operating Systems

Authors:
Eamonn Keogh;Li Wei;Xiaopeng Xi;Stefano Lonardi;Jin Shieh;Scott Sirowy
Affiliations:
University of California, Riverside, USA;University of California, Riverside, USA;University of California, Riverside, USA;University of California, Riverside, USA;University of California, Riverside, USA;University of California, Riverside, USA
Venue:
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Year:
2006

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Abstract

The vast majority of visualization tools introduced so far are specialized pieces of software that run explicitly on a particular dataset at a particular time for a particular purpose. In this work we introduce a novel framework for allowing visualization to take place in the background of normal day-to-day operation of any GUI based operation system. Our system works by replacing the standard file icons with automatically created icons that reflect the contents of the files in a principled way. We call such icons INTELLIGENT ICONS. The utility of Intelligent Icons is further enhanced by arranging them in a way that reflects their similarity/differences. We demonstrate the utility of our approach on diverse applications.