A New Criterion in Selection and Discretization of Attributes for the Generation of Decision Trees

@article{Jun1997ANC,
  title={A New Criterion in Selection and Discretization of Attributes for the Generation of Decision Trees},
  author={Byung Hwan Jun and Chang Soo Kim and Hong-Yeop Song and Jaihie Kim},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
  year={1997},
  volume={19},
  pages={1371-1375}
}
It is important to use a better criterion in selection and discretization of attributes for the generation of decision trees to construct a better classifier in the area of pattern recognition in order to intelligently access huge amount of data efficiently. Two well-known criteria are gain and gain ratio, both based on the entropy of partitions. We propose in this paper a new criterion based also on entropy, and use both theoretical analysis and computer simulation to demonstrate that it works… CONTINUE READING

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