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Volumn 18, Issue 2, 2010, Pages 109-117

Applying CHAID for logistic regression diagnostics and classification accuracy improvement

Author keywords

CHAID; churn prediction; decision tree; logistic regression; performance improvement; segment wise prediction

Indexed keywords


EID: 77956289965     PISSN: 09673237     EISSN: 14791862     Source Type: Journal    
DOI: 10.1057/jt.2010.3     Document Type: Article
Times cited : (37)

References (13)
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    • 1982 Special Issue on Causal Modeling (November)
    • Magidson, J. (1982) Some common pitfalls in causal analysis of categorical data. Journal of Marketing Research 19 (4), Special Issue on Causal Modeling (November, 1982): 461-471.
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    • Magidson, J.1
  • 7
    • 33744509693 scopus 로고    scopus 로고
    • Detection defection: Measuring and understanding the predictive accuracy of customer churn models
    • Neslin, S., Gupta, S., Kamakura, W., Lu, J. and Mason, C. (2006) Detection defection: Measuring and understanding the predictive accuracy of customer churn models. Journal of Marketing Research 43 (2) : 204-211.
    • (2006) Journal of Marketing Research , vol.43 , Issue.2 , pp. 204-211
    • Neslin, S.1    Gupta, S.2    Kamakura, W.3    Lu, J.4    Mason, C.5
  • 8
    • 0000548637 scopus 로고    scopus 로고
    • Continuous predictive modeling, a comparative analysis
    • Levin, N. and Zahavi, J. (1998) Continuous predictive modeling, a comparative analysis. Journal of Interactive Marketing 12 : 5-22.
    • (1998) Journal of Interactive Marketing , vol.12 , pp. 5-22
    • Levin, N.1    Zahavi, J.2
  • 9
    • 0000661829 scopus 로고
    • An exploratory technique for investigating large quantities of categorical data
    • Kass, G. V. (1980) An exploratory technique for investigating large quantities of categorical data. Journal of Applied Statistics 29 (2) : 119-127.
    • (1980) Journal of Applied Statistics , vol.29 , Issue.2 , pp. 119-127
    • Kass, G.V.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.