Temporal Rule Discovery using Genetic Programming and Specialized Hardware

@inproceedings{Hetland2002TemporalRD,
  title={Temporal Rule Discovery using Genetic Programming and Specialized Hardware},
  author={Magnus Lie Hetland},
  year={2002}
}
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 flexibility and adaptability, and its ability to produce intelligible rules of considerable complexity. 
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