Discretization of Continuous-Valued Attributes and Instance-Based Learning

  title={Discretization of Continuous-Valued Attributes and Instance-Based Learning},
  author={Kai Ming Basser},
  • Kai Ming Basser
  • Published 1994
Recent work on discretization of continuous-valued attributes in learning decision trees has produced some positive results. This paper adopts the idea of discretization of continuous-valued attributes and applies it to instance-based learning (Aha, 1990; Aha, Kibler & Albert, 1991). Our experiments have shown that instance-based learning (IBL) usually performs well in continuous-valued attribute domains and poorly in nominal attribute domains. Cost and Salzberg (1993) have devised the modiied… CONTINUE READING
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