Classification Rule Learning with APRIORI-C

  title={Classification Rule Learning with APRIORI-C},
  author={Viktor Jovanoski and N. Lavrac},
  • Viktor Jovanoski, N. Lavrac
  • Published in EPIA 2001
  • Computer Science
  • This paper presents the APRIORI-C algorithm, modifying the association rule learner APRIORI to learn classification rules. The algorithm achieves decreased time and space complexity, while still performing exhaustive search of the rule space. Other APRIORI-C improvements include feature subset selection and rule post-processing, leading to increased understandability of rules and increased accuracy in domains with unbalanced class distributions. In comparison with learners which use the… CONTINUE READING

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    • 2,463
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    • 695
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    Constraint-based rule mining in large, dense databases
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