A genetic algorithm-based rule extraction system

  title={A genetic algorithm-based rule extraction system},
  author={Bikash Kanti Sarkar and Shib Sankar Sana and K. S. Chaudhuri},
  journal={Appl. Soft Comput.},
Individual classifiers predict unknown objects. Although, these are usually domain specific, and lack the property of scaling up prediction while handling data sets with huge size and high-dimensionality or imbalance class distribution. This article introduces an accuracy-based learning system called DTGA (decision tree and genetic algorithm) that aims to improve prediction accuracy over any classification problem irrespective to domain, size, dimensionality and class distribution. More… CONTINUE READING
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