한국데이터정보과학회:학술대회논문집
- 한국데이터정보과학회 2003년도 추계학술대회
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- Pages.239-247
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- 2003
CHAID Algorithm by Cube-based Sampling
- Park, Hee-Chang (Department of Statistics, Changwon National University) ;
- Cho, Kwang-Hyun (Department of Statistics, Changwon National University)
- 발행 : 2003.10.30
초록
Decision tree algorithms are used extensively for data mining in many domains such as retail target marketing, fraud dection, data reduction and variable screening, etc. CHAID(Chi-square Automatic Interaction Detector), is an exploratory method used to study the relationship between a dependent variable and a series of predictor variables. In this paper we propose and CHAID algorithm by cube-based sampling and explore CHAID algorithm in view of accuracy and speed by the number of variables.