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샘플링에 의한 CHAID 알고리즘 개발 원문보기
CHAID Algorithm by Sampling

  • 저자

    조광현

  • 학위수여기관

    昌原大學校 大學院

  • 학위구분

    국내석사

  • 학과

    수학통계학과

  • 지도교수

  • 발행년도

    2003

  • 총페이지

    38p.

  • 키워드

    데이터마이닝 샘플링 CHAID 알고리즘 의사결정나무;

  • 언어

    kor

  • 원문 URL

    http://www.riss.kr/link?id=T9468884&outLink=K  

  • 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, interaction effect identification, category merging and discretizing continuous variable, 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. CHAID modeling selects a set of predictors and their interactions that optimally predict the dependent measure. First, we explore CHAID algorithm in view of accuracy and speed by random sampling proportion. And we propose CHAID algorithm by cube-based one sampling and explore this algorithm in view of accuracy and speed by the number of variables. Also, we propose CHAID algorithm by cube-based proportional sampling and explore this algorithm in view of accuracy and speed by sampling proportion.


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