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Sixth IEEE International Conference on Data Mining (ICDM'06)
Intelligent Icons: Integrating Lite-Weight Data Mining and Visualization into GUI Operating Systems
Hong Kong
December 18-December 22
ISBN: 0-7695-2701-9
ASCII Text
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Eamonn Keogh, Li Wei, Xiaopeng Xi, Stefano Lonardi, Jin Shieh, Scott Sirowy, "Intelligent Icons: Integrating Lite-Weight Data Mining and Visualization into GUI Operating Systems," Data Mining, IEEE International Conference on, pp. 912-916, Sixth IEEE International Conference on Data Mining (ICDM'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICDM.2006.90,
author = {Eamonn Keogh and Li Wei and Xiaopeng Xi and Stefano Lonardi and Jin Shieh and Scott Sirowy},
title = {Intelligent Icons: Integrating Lite-Weight Data Mining and Visualization into GUI Operating Systems},
journal ={Data Mining, IEEE International Conference on},
volume = {0},
year = {2006},
issn = {1550-4786},
pages = {912-916},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2006.90},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Mining, IEEE International Conference on
TI - Intelligent Icons: Integrating Lite-Weight Data Mining and Visualization into GUI Operating Systems
SN - 1550-4786
SP912
EP916
A1 - Eamonn Keogh,
A1 - Li Wei,
A1 - Xiaopeng Xi,
A1 - Stefano Lonardi,
A1 - Jin Shieh,
A1 - Scott Sirowy,
PY - 2006
KW - null
VL - 0
JA - Data Mining, IEEE International Conference on
ER -
 
Eamonn Keogh, University of California, Riverside, USA
Li Wei, University of California, Riverside, USA
Xiaopeng Xi, University of California, Riverside, USA
Stefano Lonardi, University of California, Riverside, USA
Jin Shieh, University of California, Riverside, USA
Scott Sirowy, University of California, Riverside, USA
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.
Citation:
Eamonn Keogh, Li Wei, Xiaopeng Xi, Stefano Lonardi, Jin Shieh, Scott Sirowy, "Intelligent Icons: Integrating Lite-Weight Data Mining and Visualization into GUI Operating Systems," icdm, pp.912-916, Sixth IEEE International Conference on Data Mining (ICDM'06), 2006
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