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Volumn 27, Issue 2, 2004, Pages 265-276

A purchase-based market segmentation methodology

Author keywords

Clustering; Genetic algorithm; Market segmentation; Purchase behavior; RFM analysis

Indexed keywords

COSTS; CUSTOMER SATISFACTION; DATA REDUCTION; GENETIC ALGORITHMS; INDUSTRIAL MANAGEMENT; MARKETING; PROBLEM SOLVING;

EID: 2942622412     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2004.02.005     Document Type: Article
Times cited : (167)

References (22)
  • 14
    • 0036722310 scopus 로고    scopus 로고
    • Integration of self-organizing feature map and K-means algorithm for market segmentation
    • Kuo R.J., Ho L.M., Hu C.M. Integration of self-organizing feature map and K-means algorithm for market segmentation. Computers and Operations Research. 29:(11):2002;1475-1493.
    • (2002) Computers and Operations Research , vol.29 , Issue.11 , pp. 1475-1493
    • Kuo, R.J.1    Ho, L.M.2    Hu, C.M.3
  • 19
    • 0010629968 scopus 로고    scopus 로고
    • Conditional market segmentation by neural networks: A Monte-Carlo study
    • Natter M. Conditional market segmentation by neural networks: a Monte-Carlo study. Journal of Retailing and Consumer Services. 6:(4):1999;237-248.
    • (1999) Journal of Retailing and Consumer Services , vol.6 , Issue.4 , pp. 237-248
    • Natter, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.