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Volumn 6485 LNCS, Issue , 2010, Pages 304-313

Bayesian network approach to predict mobile churn motivations: Emphasis on general Bayesian network, Markov Blanket, and what-if simulation

Author keywords

Bayesian Network; Churn Motivation; Markov Blanket; Mobile Churn Prediction; What If Simulation

Indexed keywords

CHURN MOTIVATION; DAILY LIVES; DECISION MAKERS; EMPIRICAL RESULTS; MARKOV BLANKETS; MOBILE CHURN PREDICTION; MOBILE SERVICE PROVIDERS; WHAT-IF; CHURN PREDICTIONS; GENERAL BAYESIAN NETWORKS; WHAT-IF SIMULATION;

EID: 78651104719     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17569-5_30     Document Type: Conference Paper
Times cited : (8)

References (19)
  • 1
    • 33750584243 scopus 로고    scopus 로고
    • Customer churn analysis: Churn determinants and mediation effects of partial defection in the korean mobile telecommunications service industry
    • Ahn, J., Han, S., Lee, Y.: Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry. Telecommunications Policy 30(10-11), 552-568 (2006)
    • (2006) Telecommunications Policy , vol.30 , Issue.10-11 , pp. 552-568
    • Ahn, J.1    Han, S.2    Lee, Y.3
  • 3
    • 0036740307 scopus 로고    scopus 로고
    • Measuring switching costs and the determinants of customer retention in internet-enabled businesses: Astudy of the online brokerage industry
    • Chen, P.-Y., Hitt, L.M.: Measuring switching costs and the determinants of customer retention in Internet-enabled businesses: Astudy of the online brokerage industry. Information Systems Research 13(3), 255-274 (2002)
    • (2002) Information Systems Research , vol.13 , Issue.3 , pp. 255-274
    • Chen, P.-Y.1    Hitt, L.M.2
  • 5
    • 34249832377 scopus 로고
    • A Bayesian method for the induction of probabilistic networks from data
    • Cooper, G.F., Herskovits, E.: A Bayesian method for the induction of probabilistic networks from data. Machine Learning 9(4), 309-347 (1992)
    • (1992) Machine Learning , vol.9 , Issue.4 , pp. 309-347
    • Cooper, G.F.1    Herskovits, E.2
  • 9
    • 1042281169 scopus 로고    scopus 로고
    • The effects of customer satisfaction and switching barriers on customer loyalty in korean mobile telecommunication services
    • Kim, M.K., Jeong, D.H.: The effects of customer satisfaction and switching barriers on customer loyalty in Korean mobile telecommunication services. Telecommunications Policy 28(2), 145-159 (2004)
    • (2004) Telecommunications Policy , vol.28 , Issue.2 , pp. 145-159
    • Kim, M.K.1    Jeong, D.H.2
  • 11
    • 33744526493 scopus 로고    scopus 로고
    • Bagging and boosting classification trees to predict churn
    • Lemmens, A., Croux, C.: Bagging and Boosting Classification Trees to Predict Churn. Journal of Marketing Research 43(2), 276-286 (2006)
    • (2006) Journal of Marketing Research , vol.43 , Issue.2 , pp. 276-286
    • Lemmens, A.1    Croux, C.2
  • 12
    • 69949110656 scopus 로고    scopus 로고
    • On the classification performance of TAN and general bayesian networks
    • Madden, M.G.: On the classification performance of TAN and general Bayesian networks. Knowledge-Based Systems 22(7), 489-495 (2009)
    • (2009) Knowledge-Based Systems , vol.22 , Issue.7 , pp. 489-495
    • Madden, M.G.1
  • 13
    • 33744509693 scopus 로고    scopus 로고
    • Defection detection: Measuring and understanding the predictive accuracy of customer churn models
    • Neslin, S.A., Gupta, S., Kamakura, W., Lu, J., Mason, C.: Defection detection: Measuring and understanding the predictive accuracy of customer churn models. Journal of Marketing Research 43(2), 204-211 (2006)
    • (2006) Journal of Marketing Research , vol.43 , Issue.2 , pp. 204-211
    • Neslin, S.A.1    Gupta, S.2    Kamakura, W.3    Lu, J.4    Mason, C.5
  • 17
    • 7044235545 scopus 로고    scopus 로고
    • Combating the churn phenomenon
    • Siber, R.: Combating the churn phenomenon. Telecommunications 31(10), 77-81 (1997)
    • (1997) Telecommunications , vol.31 , Issue.10 , pp. 77-81
    • Siber, R.1
  • 18
    • 2142713081 scopus 로고    scopus 로고
    • Predicting customer behavior in telecommunications
    • Yan, L., Wolniewicz, R.H., Dodier, R.: Predicting customer behavior in telecommunications. IEEE Intelligent Systems 19(2), 50-58 (2004)
    • (2004) IEEE Intelligent Systems , vol.19 , Issue.2 , pp. 50-58
    • Yan, L.1    Wolniewicz, R.H.2    Dodier, R.3
  • 19
    • 0036696364 scopus 로고    scopus 로고
    • Turning telecommunications call details to churn prediction: A data mining approach
    • Wei, C.P., Chiu, I.T.: Turning Telecommunications Call Details to Churn Prediction: A Data Mining Approach. Expert Systems with Application 23, 103-112 (2002)
    • (2002) Expert Systems with Application , vol.23 , pp. 103-112
    • Wei, C.P.1    Chiu, I.T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.