Evolutionary Data Mining With Automatic Rule Generalization

  title={Evolutionary Data Mining With Automatic Rule Generalization},
  author={Robert Cattral and Franz Oppacher and Dwight Deugo},
This paper describes RAGA, a data mining system that combines evolutionary and symbolic machine learning methods, and discusses recent extensions required to extract comprehensible and strong rules from a very challenging dataset. RAGA relies on evolutionary search to highlight strong rules to which symbolic generalization techniques are applied between generations. We present some experimental results and a comparison of RAGA with other data mining 
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C4.5 and See-5 are licensed products that can be acquired from Morgan Kaufmann Publishers, Ann Arbor, Michigan

R. J. Quinlan
View 7 Excerpts
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A Modified Genetic Algorithm for Supervised and Unsupervised Data Mining, Proceedings of the IASTED International Symposia APPLIED INFORMATICS

Cattral, Oppacher, Deugo
View 3 Excerpts

Unified Theories of Cognition, (Harvard

Allen Newell
View 1 Excerpt

Adaptation in Natural and Artificial Systems, (Michigan

John Holland
View 3 Excerpts

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