한국데이터정보과학회:학술대회논문집
- 2003.10a
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- Pages.239-247
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- 2003
CHAID Algorithm by Cube-based Sampling
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Park, Hee-Chang
(Department of Statistics, Changwon National University) ;
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Cho, Kwang-Hyun
(Department of Statistics, Changwon National University)
- Published : 2003.10.30
Abstract
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.