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Volumn 38, Issue 1, 2011, Pages 631-639

Designing customer-oriented catalogs in e-CRM using an effective self-adaptive genetic algorithm

Author keywords

Catalog segmentation; Data mining; e CRM; Self adaptive genetic algorithms

Indexed keywords

CATALOG SEGMENTATION; COMPUTATIONAL STUDIES; CUSTOMER INTERACTION; E-CRM; ELECTRONIC CUSTOMER RELATIONSHIP MANAGEMENT (ECRM); LOCAL OPTIMA; OPTIMIZATION METHOD; PROBLEM FORMULATION; SELF ADAPTIVE GENETIC ALGORITHM; SYNTHETIC DATASETS;

EID: 77956616228     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.07.013     Document Type: Article
Times cited : (26)

References (19)
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    • R. Barkhi, E. Rolland, J. Butler, and W. Fan Decision Support System induced guidance for model formulation and solution Decision Support Systems 40 2 2005 269 281
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    • Barkhi, R.1    Rolland, E.2    Butler, J.3    Fan, W.4
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    • (2001) Expert Systems with Applications , vol.20 , Issue.4 , pp. 325-335
    • Changchien, S.W.1    Lu, T.C.2
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    • ILOG Inc., Mountain View, CA
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    • (2005) CPLEX 9.0 User's Manual
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    • 34248589193 scopus 로고    scopus 로고
    • Using customer knowledge in designing electronic catalog
    • C. Lin, and C. Hong Using customer knowledge in designing electronic catalog Expert Systems with Applications 34 2008 119 127
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    • Lin, C.1    Hong, C.2
  • 16
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    • Designing evolving user profile in e-CRM with dynamic clustering of Web documents
    • I. Mahdavi, N. Cho, B. Shirazi, and N. Sahebjamnia Designing evolving user profile in e-CRM with dynamic clustering of Web documents Data & Knowledge Engineering 65 2 2008 355 372
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  • 19
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    • Approximating the 2-catalog segmentation problem using semidefinite programming relaxations
    • D. Xu, Y. Ye, and J. Zhang Approximating the 2-catalog segmentation problem using semidefinite programming relaxations Optimization Methods and Software 18 6 2003 705 719
    • (2003) Optimization Methods and Software , vol.18 , Issue.6 , pp. 705-719
    • Xu, D.1    Ye, Y.2    Zhang, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.