Improving rule sorting, predictive accuracy and training time in associative classification

@article{Thabtah2006ImprovingRS,
  title={Improving rule sorting, predictive accuracy and training time in associative classification},
  author={Fadi A. Thabtah and Peter I. Cowling and Suhel Hammoud},
  journal={Expert Syst. Appl.},
  year={2006},
  volume={31},
  pages={414-426}
}
Traditional classification techniques such as decision trees and RIPPER use heuristic search methods to find a small subset of patterns. In recent years, a promising new approach that mainly uses association rule mining in classification called associative classification has been proposed. Most associative classification algorithms adopt the exhaustive search method presented in the famous Apriori algorithm to discover the rules and require multiple passes over the database. Furthermore, they… CONTINUE READING
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