ML Anthology

ChiMerge: Discretization of Numeric Attributes

Randy Kerber
AAAI 1992 pp. 123-128
/aaai/1992/kerber1992aaai-chimerge/

Abstract

Many classification algorithms require that the training data contain only discrete attributes. To use such an algorithm when there are numeric attributes, all numeric values must first be converted into discrete values--a process called discretization. This paper describes ChiMerge, a general, robust algorithm that uses the χ2 statistic to discretize (quantize) numeric attributes.

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Cite

Text

Kerber. "ChiMerge: Discretization of Numeric Attributes." AAAI Conference on Artificial Intelligence, 1992.

Markdown

[Kerber. "ChiMerge: Discretization of Numeric Attributes." AAAI Conference on Artificial Intelligence, 1992.](https://mlanthology.org/aaai/1992/kerber1992aaai-chimerge/)

BibTeX

@inproceedings{kerber1992aaai-chimerge,
  title     = {{ChiMerge: Discretization of Numeric Attributes}},
  author    = {Kerber, Randy},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {1992},
  pages     = {123-128},
  url       = {https://mlanthology.org/aaai/1992/kerber1992aaai-chimerge/}
}