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Volumn 39, Issue 9, 2012, Pages 7736-7742

CRM strategies for a small-sized online shopping mall based on association rules and sequential patterns

Author keywords

Association rule; CRM strategy; Data mining; RFM; Sequential pattern

Indexed keywords

BASE CLASSIFIERS; CRM STRATEGY; CUSTOMER RELATIONSHIP MANAGEMENT; DATA MINING TECHNIQUES; LOGISTIC REGRESSIONS; ONLINE MARKETPLACES; ONLINE SHOPPING; RFM; SEARCH COSTS; SEQUENTIAL PATTERNS; TRANSACTION DATA;

EID: 84858334097     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.01.080     Document Type: Article
Times cited : (60)

References (44)
  • 1
    • 23044523596 scopus 로고    scopus 로고
    • Expert-driven validation of rule-based user models in personalization applications
    • G. Adomavicius, and A. Tuzhilin Expert-driven validation of rule-based user models in personalization applications Data Mining and Knowledge Discovery 5 2001 33 58
    • (2001) Data Mining and Knowledge Discovery , vol.5 , pp. 33-58
    • Adomavicius, G.1    Tuzhilin, A.2
  • 3
    • 34548474275 scopus 로고    scopus 로고
    • Customer relationship management in retailing: A content analysis of retail trade journals
    • J.L. Anderson, L.D. Jolly, and A.E. Fairhurst Customer relationship management in retailing: A content analysis of retail trade journals Journal of Retailing and Consumer Services 14 2007 394 399
    • (2007) Journal of Retailing and Consumer Services , vol.14 , pp. 394-399
    • Anderson, J.L.1    Jolly, L.D.2    Fairhurst, A.E.3
  • 7
    • 70349764678 scopus 로고    scopus 로고
    • Discovering recency, frequency, and monetary (RFM) sequential patterns from customers' purchasing data
    • Y.L. Chen, M.H. Kuo, S.Y. Wu, and K. Tang Discovering recency, frequency, and monetary (RFM) sequential patterns from customers' purchasing data Electronic Commerce Research and Applications 8 2009 241 251
    • (2009) Electronic Commerce Research and Applications , vol.8 , pp. 241-251
    • Chen, Y.L.1    Kuo, M.H.2    Wu, S.Y.3    Tang, K.4
  • 8
    • 58349096072 scopus 로고    scopus 로고
    • Classifying the segmentation of customer value via RFM model and RS theory
    • C.H. Cheng, and Y.S. Chen Classifying the segmentation of customer value via RFM model and RS theory Expert Systems with Applications 36 2009 4176 4184
    • (2009) Expert Systems with Applications , vol.36 , pp. 4176-4184
    • Cheng, C.H.1    Chen, Y.S.2
  • 12
    • 34248545092 scopus 로고    scopus 로고
    • Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry
    • C.F. Chien, and L.F. Chen Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry Expert Systems with Applications 34 2008 280 290
    • (2008) Expert Systems with Applications , vol.34 , pp. 280-290
    • Chien, C.F.1    Chen, L.F.2
  • 13
    • 84986134482 scopus 로고    scopus 로고
    • Data mining for shopping centres-customer knowledge-management framework
    • C. Dennis, D. Marsland, and T. Cockett Data mining for shopping centres-customer knowledge-management framework Journal of Knowledge Management 5 2001 368 374
    • (2001) Journal of Knowledge Management , vol.5 , pp. 368-374
    • Dennis, C.1    Marsland, D.2    Cockett, T.3
  • 14
    • 29844441930 scopus 로고    scopus 로고
    • E-CLV: A modeling approach for customer lifetime evaluation in e-commerce domains, with an application and case study for online auction
    • O. Etzion, A. Fisher, and S. Wasserkrug E-CLV: A modeling approach for customer lifetime evaluation in e-commerce domains, with an application and case study for online auction Information Systems Frontiers 7 2005 421 434
    • (2005) Information Systems Frontiers , vol.7 , pp. 421-434
    • Etzion, O.1    Fisher, A.2    Wasserkrug, S.3
  • 16
    • 4544379047 scopus 로고    scopus 로고
    • Mining class outliers: Concepts, algorithms and applications in CRM
    • Z. He, X. Xu, J.Z. Huang, and S. Deng Mining class outliers: concepts, algorithms and applications in CRM Expert Systems with Applications 27 2004 681 697
    • (2004) Expert Systems with Applications , vol.27 , pp. 681-697
    • He, Z.1    Xu, X.2    Huang, J.Z.3    Deng, S.4
  • 17
    • 77950189382 scopus 로고    scopus 로고
    • Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty
    • S.M.S. Hosseini, A. Maleki, and M.R. Gholamian Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty Expert Systems with Applications 37 2010 5259 5264
    • (2010) Expert Systems with Applications , vol.37 , pp. 5259-5264
    • Hosseini, S.M.S.1    Maleki, A.2    Gholamian, M.R.3
  • 18
    • 58349093713 scopus 로고    scopus 로고
    • A case study of applying data mining techniques in an outfitter's customer value analysis
    • S.C. Huang, E.C. Chang, and H.H. Wu A case study of applying data mining techniques in an outfitter's customer value analysis Expert Systems with Applications 36 2009 5909 5915
    • (2009) Expert Systems with Applications , vol.36 , pp. 5909-5915
    • Huang, S.C.1    Chang, E.C.2    Wu, H.H.3
  • 20
    • 0347592341 scopus 로고    scopus 로고
    • An LTV model and customer segmentation based on customer value: A case study on the wireless telecommunication industry
    • H. Hwang, T. Jung, and E. Suh An LTV model and customer segmentation based on customer value: A case study on the wireless telecommunication industry Expert Systems with Applications 26 2004 181 188
    • (2004) Expert Systems with Applications , vol.26 , pp. 181-188
    • Hwang, H.1    Jung, T.2    Suh, E.3
  • 21
    • 33748351404 scopus 로고    scopus 로고
    • Segmenting customers from population to individuals: Does 1-to-1 keep your customers forever
    • T. Jiang, and A. Tuzhilin Segmenting customers from population to individuals: Does 1-to-1 keep your customers forever IEEE Transactions on Knowledge and Data Engineering 2006 1297 1311
    • (2006) IEEE Transactions on Knowledge and Data Engineering , pp. 1297-1311
    • Jiang, T.1    Tuzhilin, A.2
  • 22
    • 84858337789 scopus 로고    scopus 로고
    • Evaluation of the information-theoretic construction of multiple classifier systems
    • H.J. Kang, and D. Doermann Evaluation of the information-theoretic construction of multiple classifier systems Document Analysis and Recognition 2 2003 789
    • (2003) Document Analysis and Recognition , vol.2 , pp. 789
    • Kang, H.J.1    Doermann, D.2
  • 23
    • 33644780887 scopus 로고    scopus 로고
    • Customer segmentation and strategy development based on customer lifetime value: A case study
    • S.Y. Kim, T.S. Jung, E.H. Suh, and H.S. Hwang Customer segmentation and strategy development based on customer lifetime value: A case study Expert Systems with Applications 31 2006 101 107
    • (2006) Expert Systems with Applications , vol.31 , pp. 101-107
    • Kim, S.Y.1    Jung, T.S.2    Suh, E.H.3    Hwang, H.S.4
  • 24
    • 29144445856 scopus 로고    scopus 로고
    • Toward a successful CRM: Variable selection, sampling, and ensemble
    • Y.S. Kim Toward a successful CRM: Variable selection, sampling, and ensemble Decision Support Systems 41 2006 542 553
    • (2006) Decision Support Systems , vol.41 , pp. 542-553
    • Kim, Y.S.1
  • 25
    • 2342652260 scopus 로고    scopus 로고
    • An intelligent system for customer targeting: A data mining approach
    • Y.S. Kim, and W.N. Street An intelligent system for customer targeting: A data mining approach Decision Support Systems 37 2004 215 228
    • (2004) Decision Support Systems , vol.37 , pp. 215-228
    • Kim, Y.S.1    Street, W.N.2
  • 26
    • 56349116511 scopus 로고    scopus 로고
    • Customer management as the origin of collaborative customer relationship management
    • [taking CRM to the next level]
    • A.H. Kracklauer, D.Q. Mills, and D. Seifert Customer management as the origin of collaborative customer relationship management Collaborative Customer Relationship Management 2004 3 6 [taking CRM to the next level]
    • (2004) Collaborative Customer Relationship Management , pp. 3-6
    • Kracklauer, A.H.1    Mills, D.Q.2    Seifert, D.3
  • 27
    • 0029407395 scopus 로고
    • Applications of machine learning and rule induction
    • P. Langley, and H.A. Simon Applications of machine learning and rule induction Communications of the ACM 38 1995 54 64
    • (1995) Communications of the ACM , vol.38 , pp. 54-64
    • Langley, P.1    Simon, H.A.2
  • 28
    • 24144459567 scopus 로고    scopus 로고
    • Investigating the post-complaint period by means of survival analysis
    • B. LariviRe, and D. Van den Poel Investigating the post-complaint period by means of survival analysis Expert Systems with Applications 29 2005 667 677
    • (2005) Expert Systems with Applications , vol.29 , pp. 667-677
    • Larivire, B.1    Van Den Poel, D.2
  • 29
    • 0037342281 scopus 로고    scopus 로고
    • Design and implementation of an integrated knowledge system
    • H. Lau, C. Wong, I. Hui, and K. Pun Design and implementation of an integrated knowledge system Knowledge-Based Systems 16 2003 69 76
    • (2003) Knowledge-Based Systems , vol.16 , pp. 69-76
    • Lau, H.1    Wong, C.2    Hui, I.3    Pun, K.4
  • 30
    • 4544221505 scopus 로고    scopus 로고
    • Mining customer knowledge for electronic catalog marketing
    • S.H. Liao, and Y.J. Chen Mining customer knowledge for electronic catalog marketing Expert Systems with Applications 27 2004 521 532
    • (2004) Expert Systems with Applications , vol.27 , pp. 521-532
    • Liao, S.H.1    Chen, Y.J.2
  • 32
    • 23944439814 scopus 로고    scopus 로고
    • Customer relationship management: Emerging practice, process, and discipline
    • A. Parvatiyar, and J.N. Sheth Customer relationship management: Emerging practice, process, and discipline Journal of Economic and Social Research 3 2001 1 34
    • (2001) Journal of Economic and Social Research , vol.3 , pp. 1-34
    • Parvatiyar, A.1    Sheth, J.N.2
  • 35
    • 84988828223 scopus 로고
    • Neural networks: A new tool for predicting thrift failures
    • L.M. Salchenberger, E.M. Cinar, and N.A. Lash Neural networks: A new tool for predicting thrift failures Decision Sciences 23 1992 899 916
    • (1992) Decision Sciences , vol.23 , pp. 899-916
    • Salchenberger, L.M.1    Cinar, E.M.2    Lash, N.A.3
  • 36
    • 56049111065 scopus 로고    scopus 로고
    • Incorporating domain knowledge into data mining classifiers: An application in indirect lending
    • A.P. Sinha, and H. Zhao Incorporating domain knowledge into data mining classifiers: An application in indirect lending Decision Support Systems 46 2008 287 299
    • (2008) Decision Support Systems , vol.46 , pp. 287-299
    • Sinha, A.P.1    Zhao, H.2
  • 38
    • 84997479670 scopus 로고
    • Managerial applications of neural networks: The case of bank failure predictions
    • K.Y. Tam, and M.Y. Kiang Managerial applications of neural networks: The case of bank failure predictions Management Science 38 1992 926 947
    • (1992) Management Science , vol.38 , pp. 926-947
    • Tam, K.Y.1    Kiang, M.Y.2
  • 39
    • 70449521306 scopus 로고    scopus 로고
    • Variable selection by association rules for customer churn prediction of multimedia on demand
    • C.F. Tsai, and M.Y. Chen Variable selection by association rules for customer churn prediction of multimedia on demand Expert Systems with Applications 37 2010 2006 2015
    • (2010) Expert Systems with Applications , vol.37 , pp. 2006-2015
    • Tsai, C.F.1    Chen, M.Y.2
  • 40
    • 69249209759 scopus 로고    scopus 로고
    • Customer churn prediction by hybrid neural networks
    • C.F. Tsai, and Y.H. Lu Customer churn prediction by hybrid neural networks Expert Systems with Applications 36 2009 12547 12553
    • (2009) Expert Systems with Applications , vol.36 , pp. 12547-12553
    • Tsai, C.F.1    Lu, Y.H.2
  • 41
    • 0009373301 scopus 로고    scopus 로고
    • Competitive advantages in virtual markets-perspectives of ¡°information-based marketing¡± in cyberspace
    • R. Weiber, and T. Kollmann Competitive advantages in virtual markets-perspectives of ¡°information-based marketing¡± in cyberspace European Journal of Marketing 32 1998 603 615
    • (1998) European Journal of Marketing , vol.32 , pp. 603-615
    • Weiber, R.1    Kollmann, T.2
  • 42
    • 22144450689 scopus 로고    scopus 로고
    • Targeting customers via discovery knowledge for the insurance industry
    • C.H. Wu, S.C. Kao, Y.Y. Su, and C.C. Wu Targeting customers via discovery knowledge for the insurance industry Expert Systems with Applications 29 2005 291 299
    • (2005) Expert Systems with Applications , vol.29 , pp. 291-299
    • Wu, C.H.1    Kao, S.C.2    Su, Y.Y.3    Wu, C.C.4
  • 43
    • 20844463484 scopus 로고    scopus 로고
    • Identifying interesting visitors through Web log classification
    • J.X. Yu, Y. Ou, C. Zhang, and S. Zhang Identifying interesting visitors through Web log classification IEEE Intelligent Systems 20 2005 55 59
    • (2005) IEEE Intelligent Systems , vol.20 , pp. 55-59
    • Yu, J.X.1    Ou, Y.2    Zhang, C.3    Zhang, S.4
  • 44
    • 0032640524 scopus 로고    scopus 로고
    • Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis
    • G. Zhang Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis European Journal of Operational Research 116 1999 16 32
    • (1999) European Journal of Operational Research , vol.116 , pp. 16-32
    • Zhang, G.1


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