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Proceedings 2001 IEEE International Conference on Data Mining (2001)
San Jose, California
Nov. 29, 2001 to Dec. 2, 2001
ISBN: 0-7695-1119-8
pp: 281
ABSTRACT
This paper presents a novel Fourier analysis-based technique to aggregate, communicate, and visualize decision trees in a mobile environment. Fourier representation of a decision tree has several useful properties that are particularly useful for mining continuous data streams from small mobile computing devices. This paper presents algorithms to compute the Fourier spectrum of a decision tree and the vice versa. It offers a framework to aggregate decision trees in their Fourier representations. It a so describes a touch-pad/ticker-based approach to visualize decision trees using their Fourier spectrum and an implementation for PDAs..
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CITATION

H. Kargupta and B. Park, "Mining Decision Trees from Data Streams in a Mobile Environment," Proceedings 2001 IEEE International Conference on Data Mining(ICDM), San Jose, California, 2001, pp. 281.
doi:10.1109/ICDM.2001.989530
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