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Volumn 26, Issue 1, 2015, Pages 131-139

Using customer lifetime value and neural networks to improve the prediction of bank deposit subscription in telemarketing campaigns

Author keywords

Bank deposits; Customer lifetime value (LTV); Data mining; Multilayer perceptron; Recency, frequency and monetary value (RFM); Telemarketing

Indexed keywords

DEPOSITS; MULTILAYER NEURAL NETWORKS; PROFITABILITY; SALES; VALUE ENGINEERING;

EID: 84921918758     PISSN: 09410643     EISSN: 14333058     Source Type: Journal    
DOI: 10.1007/s00521-014-1703-0     Document Type: Article
Times cited : (41)

References (27)
  • 1
    • 33749996478 scopus 로고    scopus 로고
    • Global optimization of feature weights and the number of neighbors that combine in a case-based reasoning system
    • Ahn H, Kim K, Han I (2006) Global optimization of feature weights and the number of neighbors that combine in a case-based reasoning system. Expert Syst 23(5):290–301
    • (2006) Expert Syst , vol.23 , Issue.5 , pp. 290-301
    • Ahn, H.1    Kim, K.2    Han, I.3
  • 2
    • 77958505860 scopus 로고    scopus 로고
    • A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems
    • Bahrammirzaee A (2010) A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems. Neural Comput Appl 19(8):1165–1195
    • (2010) Neural Comput Appl , vol.19 , Issue.8 , pp. 1165-1195
    • Bahrammirzaee, A.1
  • 3
    • 0031350962 scopus 로고    scopus 로고
    • The impact of neural networks in finance
    • Burrell PR, Folarin BO (1997) The impact of neural networks in finance. Neural Comput Appl 6(4):193–200
    • (1997) Neural Comput Appl , vol.6 , Issue.4 , pp. 193-200
    • Burrell, P.R.1    Folarin, B.O.2
  • 4
    • 70349764678 scopus 로고    scopus 로고
    • Discovering recency, frequency, and monetary (RFM) sequential patterns from customers purchasing data
    • Chen Y-L, Kuo M-H, Tang K (2009) Discovering recency, frequency, and monetary (RFM) sequential patterns from customers purchasing data. Electron Commer Res Appl 8(5):241–251
    • (2009) Electron Commer Res Appl , vol.8 , Issue.5 , pp. 241-251
    • Chen, Y.-L.1    Kuo, M.-H.2    Tang, K.3
  • 5
    • 58349096072 scopus 로고    scopus 로고
    • Classifying the segmentation of customer value via RFM model and RS theory
    • Cheng C-H, Chen Y-S (2009) Classifying the segmentation of customer value via RFM model and RS theory. Expert Syst Appl 36(3):4176–4184
    • (2009) Expert Syst Appl , vol.36 , Issue.3 , pp. 4176-4184
    • Cheng, C.-H.1    Chen, Y.-S.2
  • 6
    • 77954877923 scopus 로고    scopus 로고
    • Data mining with neural networks and support vector machines using the r/rminer tool
    • Springer, Berlin:
    • Cortez P (2010) Data mining with neural networks and support vector machines using the r/rminer tool. In: Perner P (ed) Advances in data mining. Applications and theoretical aspects, vol 6171. Springer, Berlin, pp 572–583
    • (2010) Advances in data mining. Applications and theoretical aspects , vol.6171 , pp. 572-583
    • Cortez, P.1    Perner, P.2
  • 7
    • 84871386793 scopus 로고    scopus 로고
    • Using sensitivity analysis and visualization techniques to open black box data mining models
    • Cortez P, Embrechts MJ (2013) Using sensitivity analysis and visualization techniques to open black box data mining models. Inf Sci 225:1–17. doi:10.1016/j.ins.2012.10.039
    • (2013) Inf Sci , vol.225 , pp. 1-17
    • Cortez, P.1    Embrechts, M.J.2
  • 8
    • 84867539048 scopus 로고    scopus 로고
    • A few useful things to know about machine learning
    • Domingos P (2012) A few useful things to know about machine learning. Commun ACM 55(10):78–87
    • (2012) Commun ACM , vol.55 , Issue.10 , pp. 78-87
    • Domingos, P.1
  • 9
    • 0001947325 scopus 로고    scopus 로고
    • Customer lifetime valuation to support marketing decision making
    • Dwyer FR (1997) Customer lifetime valuation to support marketing decision making. J Interact Mark 11(4):6–13
    • (1997) J Interact Mark , vol.11 , Issue.4 , pp. 6-13
    • Dwyer, F.R.1
  • 10
    • 28444470190 scopus 로고    scopus 로고
    • RFM and CLV: using iso-value curves for customer base analysis
    • Fader PS, Hardie BGS, Lee KL (2005) RFM and CLV: using iso-value curves for customer base analysis. J Mark Res 42(4):415–430
    • (2005) J Mark Res , vol.42 , Issue.4 , pp. 415-430
    • Fader, P.S.1    Hardie, B.G.S.2    Lee, K.L.3
  • 11
    • 33646023117 scopus 로고    scopus 로고
    • An introduction to ROC analysis
    • Fawcett T (2006) An introduction to ROC analysis. Pattern Recognit Lett 27(8):861–874. doi:10.1016/j.patrec.2005.10.010
    • (2006) Pattern Recognit Lett , vol.27 , Issue.8 , pp. 861-874
    • Fawcett, T.1
  • 12
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • Guyon I, Elisseeff A (2003) An introduction to variable and feature selection. J Mach Learn Res 3:1157–1182. doi:10.1016/j.ejor.2010.10.019
    • (2003) J Mach Learn Res , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 16
    • 80052698306 scopus 로고    scopus 로고
    • A relationship-aware methodology for context-aware service selection
    • Kwon O, Lee N (2011) A relationship-aware methodology for context-aware service selection. Expert Syst 28(4):375–390
    • (2011) Expert Syst , vol.28 , Issue.4 , pp. 375-390
    • Kwon, O.1    Lee, N.2
  • 17
    • 10644257626 scopus 로고    scopus 로고
    • Integrating AHP and data mining for product recommendation based on customer lifetime value
    • Liu D-R, Shih Y-Y (2005) Integrating AHP and data mining for product recommendation based on customer lifetime value. Inf Manag 42(3):387–400
    • (2005) Inf Manag , vol.42 , Issue.3 , pp. 387-400
    • Liu, D.-R.1    Shih, Y.-Y.2
  • 18
    • 18844367043 scopus 로고    scopus 로고
    • Comparison of target selection methods in direct marketing
    • European symposium on intelligent technologies, hybrid systems and their implementation on smart adaptive systems, Citeseer:
    • Madeira S, Sousa JM (2002) Comparison of target selection methods in direct marketing. In: European symposium on intelligent technologies, hybrid systems and their implementation on smart adaptive systems. Citeseer
    • (2002) In
    • Madeira, S.1    Sousa, J.M.2
  • 19
    • 14544268623 scopus 로고    scopus 로고
    • Can we predict customer lifetime value?
    • Malthouse EC, Blattberg RC (2005) Can we predict customer lifetime value? J Interact Mark 19(1):2–16
    • (2005) J Interact Mark , vol.19 , Issue.1 , pp. 2-16
    • Malthouse, E.C.1    Blattberg, R.C.2
  • 20
    • 84900534741 scopus 로고    scopus 로고
    • A data-driven approach to predict the success of bank telemarketing
    • Moro S, Cortez P, Rita P (2014) A data-driven approach to predict the success of bank telemarketing. Decis Support Syst 62:22–31
    • (2014) Decis Support Syst , vol.62 , pp. 22-31
    • Moro, S.1    Cortez, P.2    Rita, P.3
  • 21
    • 78649519872 scopus 로고    scopus 로고
    • Introduction to the special issue: implicit measures of consumer response the search for the holy grail of marketing research. Psychol Market 27(10):913–920
    • Nevid JS (2010) Introduction to the special issue: implicit measures of consumer response the search for the holy grail of marketing research. Psychol Market 27(10):913–920. ISSN 1520–6793. doi:10.1002/mar.20365
    • (2010) ISSN , pp. 1520-6793
    • Nevid, J.S.1
  • 22
    • 84868669995 scopus 로고    scopus 로고
    • Direct marketing decision support through predictive customer response modeling
    • Olson DL, Chae BK (2012) Direct marketing decision support through predictive customer response modeling. Decis Support Syst 54(1):443–451
    • (2012) Decis Support Syst , vol.54 , Issue.1 , pp. 443-451
    • Olson, D.L.1    Chae, B.K.2
  • 23
    • 66349129571 scopus 로고    scopus 로고
    • A study on the applications of data mining techniques to enhance customer lifetime value
    • Shen C-C, Chuang H-M (2009) A study on the applications of data mining techniques to enhance customer lifetime value. WSEAS Trans Inf Sci Appl 6(2):319–328
    • (2009) WSEAS Trans Inf Sci Appl , vol.6 , Issue.2 , pp. 319-328
    • Shen, C.-C.1    Chuang, H.-M.2
  • 24
    • 0034288853 scopus 로고    scopus 로고
    • Out-of-sample tests of forecasting accuracy: an analysis and review
    • Tashman LJ (2000) Out-of-sample tests of forecasting accuracy: an analysis and review. Int J Forecast 16:437–450
    • (2000) Int J Forecast , vol.16 , pp. 437-450
    • Tashman, L.J.1
  • 25
    • 79960216068 scopus 로고    scopus 로고
    • Special issue: business decision support systems
    • Wu DD, Hall JG (2011) Special issue: business decision support systems. Expert Syst 28(3):197–198
    • (2011) Expert Syst , vol.28 , Issue.3 , pp. 197-198
    • Wu, D.D.1    Hall, J.G.2
  • 26
    • 84902435820 scopus 로고    scopus 로고
    • Combining visual customer segmentation and response modeling
    • Yao Z, Sarlin P, Eklund T, Back B (2012) Combining visual customer segmentation and response modeling. Neural Comput Appl 25(1):123–134
    • (2012) Neural Comput Appl , vol.25 , Issue.1 , pp. 123-134
    • Yao, Z.1    Sarlin, P.2    Eklund, T.3    Back, B.4
  • 27
    • 58349092517 scopus 로고    scopus 로고
    • Knowledge discovery on RFM model using bernoulli sequence
    • Yeh I, Yang K-J, Ting TM et al (2009) Knowledge discovery on RFM model using bernoulli sequence. Expert Syst Appl 36(3):5866–5871
    • (2009) Expert Syst Appl , vol.36 , Issue.3 , pp. 5866-5871
    • Yeh, I.1    Yang, K.-J.2    Ting, T.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.