Inproceedings,

Temporal Rule Discovery using Genetic Programming and Specialized Hardware

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Proceedings of the 4th International Conference on Recent Advances in Soft Computing, page 182--188. Nottingham, United Kingdom, The Nottingham Trent University, (12-13 December 2002)

Abstract

Discovering association rules is a well-established problem in the field of data mining, with many existing solutions. In later years, several methods have been proposed for mining rules from sequential and temporal data. This paper presents a novel technique based on genetic programming and specialized pattern matching hardware. The advantages of this method are its exibility and adaptability, and its ability to produce intelligible rules of considerable complexity.

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