메뉴 건너뛰기




Volumn , Issue , 2014, Pages 1-308

Developing churn models using data mining techniques and social network analysis

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; FORECASTING; PLANNING; RISK MANAGEMENT; RISK PERCEPTION;

EID: 84960293517     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-4666-6288-9     Document Type: Book
Times cited : (20)

References (153)
  • 1
    • 33750584243 scopus 로고    scopus 로고
    • Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry, Science direct
    • Ahn, J. H., Han, S. P., & Lee, Y. S. (2006). Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry, Science direct. Telecommunications Policy, 30(10-11), 552-568. doi:10.1016/j.telpol.2006.09.006
    • (2006) Telecommunications Policy , vol.30 , Issue.10-11 , pp. 552-568
    • Ahn, J.H.1    Han, S.P.2    Lee, Y.S.3
  • 5
    • 84960318668 scopus 로고    scopus 로고
    • Retrieved from
    • Cooper, C. (2011). 10 Tips for Retaining Loyal Guests. Retrieved from http://www.hotelnewsnow.com/Articles.aspx/6068/10-tips-for-retaining-loyal-guests
    • (2011) 10 Tips for Retaining Loyal Guests
    • Cooper, C.1
  • 10
    • 84961779508 scopus 로고    scopus 로고
    • Retrieved from
    • Lazarov, V., & Capota, M. (2010). Churn Prediction. Retrieved from http://home. in.tum.de/~lazarov/files/research/papers/churn-prediction.pdf
    • (2010) Churn Prediction
    • Lazarov, V.1    Capota, M.2
  • 12
    • 84960227582 scopus 로고    scopus 로고
    • Cellular M2M Connections Will Show Steady
    • Retrieved from
    • Masse, D. (2010). Cellular M2M Connections Will Show Steady. Growth. Retrieved from http://www.microwavejournal.com/articles/10376-cellular-m2m-connectionswill-show-steady-growth-to-2015
    • (2010) Growth
    • Masse, D.1
  • 13
  • 17
    • 67049144713 scopus 로고    scopus 로고
    • Churn Prediction Model in Retail Banking Using Fuzzy CMeans Algorithm
    • Popović, D. (2009). Churn Prediction Model in Retail Banking Using Fuzzy CMeans Algorithm. Faculty of Electrical Engineering and Computing, 33, 243-247.
    • (2009) Faculty of Electrical Engineering and Computing , vol.33 , pp. 243-247
    • Popović, D.1
  • 18
    • 84960292371 scopus 로고    scopus 로고
    • Classification of Churn and non-Churn Customers for Telecommunication Companies
    • Retention Science. (n.d.). Retrieved from
    • Rashid, T. (2010). Classification of Churn and non-Churn Customers for Telecommunication Companies. International Journal of Biometrics and Bioinformatics, 3(5). Retention Science. (n.d.). Retrieved from http://retentionscience.com/products/
    • (2010) International Journal of Biometrics and Bioinformatics , vol.3 , Issue.5
    • Rashid, T.1
  • 25
    • 84960241059 scopus 로고    scopus 로고
    • Author
    • Price Waterhouse Coopers. (2011). Curing customer churn. Author.
    • (2011) Curing customer churn.
  • 28
    • 84961779508 scopus 로고    scopus 로고
    • Retrieved from
    • Lazarov, V., & Capota, M. (2010). Churn Prediction. Retrieved from http://home. in.tum.de/~lazarov/files/research/papers/churn-prediction.pdf
    • (2010) Churn Prediction
    • Lazarov, V.1    Capota, M.2
  • 30
    • 84960264882 scopus 로고    scopus 로고
    • Data Mining Techniques in Customer Churn Prediction
    • Taiwan: Department of Information Management, National Central University
    • Tsai, C., & Lu, Y. (2010). Data Mining Techniques in Customer Churn Prediction. Taiwan: Department of Information Management, National Central University.
    • (2010)
    • Tsai, C.1    Lu, Y.2
  • 31
    • 0004204162 scopus 로고    scopus 로고
    • Data Mining
    • Elsevier
    • Whitten, I. H., & Frank, T. (2005). Data Mining. Elsevier.
    • (2005)
    • Whitten, I.H.1    Frank, T.2
  • 32
    • 0037920232 scopus 로고    scopus 로고
    • Linked: The New Science of Networks
    • Cambridge, MA: Perseus. Available at
    • Barabási, A. L. (2002). Linked: The New Science of Networks. Cambridge, MA: Perseus. Available at http:\\barabasilab.com\networksciencebook
    • (2002)
    • Barabási, A.L.1
  • 35
    • 11944253901 scopus 로고    scopus 로고
    • (2nd ed.). Cambridge, UK: Cambridge University Press
    • Bollobás, B. (2001). Random Graphs (2nd ed.). Cambridge, UK: Cambridge University Press. doi:10.1017/CBO9780511814068
    • (2001) Random Graphs
    • Bollobás, B.1
  • 39
    • 84993728969 scopus 로고    scopus 로고
    • The small world of the American corporate elite, 1982-2001
    • Davis, G. F., Yoo, M., & Baker, W.E. (2003). The small world of the American corporate elite, 1982-2001. Strategic Organization, 1(3).
    • (2003) Strategic Organization , vol.1 , Issue.3
    • Davis, G.F.1    Yoo, M.2    Baker, W.E.3
  • 40
    • 0031426486 scopus 로고    scopus 로고
    • Corporate Elite Networks and Governance Changes in the 1980s
    • Davis, G. F., & Greve, H. R. (1997). Corporate Elite Networks and Governance Changes in the 1980s. American Journal of Sociology, 103(1), 1-37. doi:10.1086/231170
    • (1997) American Journal of Sociology , vol.103 , Issue.1 , pp. 1-37
    • Davis, G.F.1    Greve, H.R.2
  • 44
    • 0000207615 scopus 로고
    • On the strength of connectedness of a random graph
    • Erdös, P., & Rényi, A. (1961). On the strength of connectedness of a random graph. Acta Math. Acad. Sci. Hungar., 12.
    • (1961) Acta Math. Acad. Sci. Hungar , pp. 12
    • Erdös, P.1    Rényi, A.2
  • 45
    • 84960230971 scopus 로고    scopus 로고
    • Vancouver, Canada: Empirical Press
    • Freeman, L. C. (2004). The Development of Social Network Analysis: A Study in The Sociology of Science. Vancouver, Canada: Empirical Press.
    • (2004)
    • Freeman, L.C.1
  • 48
    • 34247960076 scopus 로고
    • The strength of weak ties
    • Granovetter, M. S. (1973). The strength of weak ties. American Journal of Sociology, 78(6), 1360. doi:10.1086/225469
    • (1973) American Journal of Sociology , vol.78 , Issue.6 , pp. 1360
    • Granovetter, M.S.1
  • 51
    • 85046754669 scopus 로고
    • Interorganizational Imitation: The Impact of Interlocks on Corporate Acquisition Activity
    • Haunschild, P. R. (1993). Interorganizational Imitation: The Impact of Interlocks on Corporate Acquisition Activity. Administrative Science Quarterly, 38(4), 564. doi:10.2307/2393337
    • (1993) Administrative Science Quarterly , vol.38 , Issue.4 , pp. 564
    • Haunschild, P.R.1
  • 55
    • 3743102653 scopus 로고
    • Wireless telegraphic communication
    • Amsterdam: Elsevier Publishing Company. Available at
    • Marconi, G. (1967). Wireless telegraphic communication. In Nobel Lectures, Physics 1901-1921. Amsterdam: Elsevier Publishing Company. Available at http://www.nobelprize.org/nobel_prizes/physics/laureates/1909/marconi-lecture.html
    • (1967) Nobel Lectures, Physics 1901-1921
    • Marconi, G.1
  • 56
    • 0002687371 scopus 로고
    • The Small-World Problem
    • Milgram, S. (1967). The Small-World Problem. Psychology Today, 1(1), 61-67.
    • (1967) Psychology Today , vol.1 , Issue.1 , pp. 61-67
    • Milgram, S.1
  • 57
    • 0002687371 scopus 로고
    • The Small-World Problem
    • Milgram, S. (1967). The Small-World Problem. Psychology Today, 1(1).
    • (1967) Psychology Today , vol.1 , Issue.1
    • Milgram, S.1
  • 60
    • 0034339090 scopus 로고    scopus 로고
    • Embeddedness, Social Identity and Mobility: Why Firms Leave the NASDAQ and Join the New York Stock Exchange
    • Rao, H., Davis, G. F., & Ward, A. (2000). Embeddedness, Social Identity and Mobility: Why Firms Leave the NASDAQ and Join the New York Stock Exchange. Administrative Science Quarterly, 45.
    • (2000) Administrative Science Quarterly , pp. 45
    • Rao, H.1    Davis, G.F.2    Ward, A.3
  • 61
    • 0033406573 scopus 로고    scopus 로고
    • Institutional Sources of Boundary-spanning Structures: The Establishment of Investor Relations Departments in the Fortune 500 Industrials
    • Rao, H., & Sivakumar, K. (1999). Institutional Sources of Boundary-spanning Structures: The Establishment of Investor Relations Departments in the Fortune 500 Industrials. Organization Science, 10.
    • (1999) Organization Science , pp. 10
    • Rao, H.1    Sivakumar, K.2
  • 62
    • 0000721008 scopus 로고
    • A Study of a large sociogram
    • PMID:14490358
    • Rapoport, A., & Horvath, W. J. (1961). A Study of a large sociogram. Behavioral Science, 6(4), 279-291. doi:10.1002/bs.3830060402 PMID:14490358
    • (1961) Behavioral Science , vol.6 , Issue.4 , pp. 279-291
    • Rapoport, A.1    Horvath, W.J.2
  • 65
    • 84960239593 scopus 로고    scopus 로고
    • Sociometry
    • W. A. Darity (Ed.), (2nd ed.). Detroit, MI: Macmillan Reference
    • Remer, R. (2008). Sociometry. In W. A. Darity (Ed.), International Encyclopedia of the Social Sciences (2nd ed.). Detroit, MI: Macmillan Reference.
    • (2008) International Encyclopedia of the Social Sciences
    • Remer, R.1
  • 67
    • 0003213364 scopus 로고
    • How is Society Possible?
    • Chicago, IL: University of Chicago Press
    • Simmel, G. (1971). How is Society Possible? In On Individuality and Social Forms. Chicago, IL: University of Chicago Press.
    • (1971) On Individuality and Social Forms
    • Simmel, G.1
  • 68
    • 0001504032 scopus 로고
    • An experimental study of the small world problem
    • Travers, J., & Milgram, S. (1969). An experimental study of the small world problem. Sociometry, 32.
    • (1969) Sociometry , pp. 32
    • Travers, J.1    Milgram, S.2
  • 70
    • 4344696555 scopus 로고    scopus 로고
    • The "New" Science Of Networks
    • Watts, D. J. (2004). The "New" Science Of Networks. Annual Review of Sociology, 30(1), 243-270. doi:10.1146/annurev.soc.30.020404.104342
    • (2004) Annual Review of Sociology , vol.30 , Issue.1 , pp. 243-270
    • Watts, D.J.1
  • 71
    • 0032482432 scopus 로고    scopus 로고
    • Collective dynamics of "small-world" networks
    • PMID:9623998
    • Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of "small-world" networks. Nature, 393(6684), 440-442. doi:10.1038/30918 PMID:9623998
    • (1998) Nature , vol.393 , Issue.6684 , pp. 440-442
    • Watts, D.J.1    Strogatz, S.H.2
  • 72
    • 0032482432 scopus 로고    scopus 로고
    • Collective dynamics of 'small-world' networks
    • PMID:9623998
    • Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of 'small-world' networks. Nature, 393(6684), 440-442. doi:10.1038/30918 PMID:9623998
    • (1998) Nature , vol.393 , Issue.6684 , pp. 440-442
    • Watts, D.J.1    Strogatz, S.H.2
  • 73
    • 84862658617 scopus 로고    scopus 로고
    • Social Network Analysis: History, Concepts, and Research
    • New York, NY: Springer
    • Zhang, M. (2010). Social Network Analysis: History, Concepts, and Research. In Handbook of Social Network Technologies and Applications. New York, NY: Springer. doi:10.1007/978-1-4419-7142-5_1
    • (2010) Handbook of Social Network Technologies and Applications
    • Zhang, M.1
  • 74
    • 0003577150 scopus 로고    scopus 로고
    • Data Mining Techniques for Marketing Sales and Customer Support
    • Wiley
    • Berry, M., & Linhoff, G. (2004). Data Mining Techniques for Marketing Sales and Customer Support. Wiley.
    • (2004)
    • Berry, M.1    Linhoff, G.2
  • 75
    • 10444274107 scopus 로고    scopus 로고
    • Customer base analysis: Partial defection of behaviourally loyal clients in a noncontractual
    • Buckinx, & Van den Poel. (2005). Customer base analysis: Partial defection of behaviourally loyal clients in a noncontractual. Europeaz Journal of Operational Research, 164, 252-268, 296.
    • (2005) Europeaz Journal of Operational Research , vol.164
    • Buckinx, V.D.P.1
  • 76
    • 84960195504 scopus 로고    scopus 로고
    • Modeling churn behavior of bank customers using predictive data mining techniques
    • Institute for Development and Research in Banking Technology(IDRBT)
    • Chandar, L. K. (2006). Modeling churn behavior of bank customers using predictive data mining techniques. Institute for Development and Research in Banking Technology(IDRBT).
    • (2006)
    • Chandar, L.K.1
  • 77
    • 36048961066 scopus 로고    scopus 로고
    • Toward a hybrid data mining model for customer retention
    • Chu, B., Tsai, M., & Ho, T. (2007). Toward a hybrid data mining model for customer retention. Knowledge-Based Systems, 20, 703-718. doi:10.1016/j.knosys.2006.10.003
    • (2007) Knowledge-Based Systems , vol.20 , pp. 703-718
    • Chu, B.1    Tsai, M.2    Ho, T.3
  • 78
    • 70449526531 scopus 로고    scopus 로고
    • Improved marketing decision making in a customer churn prediction context using generalized additive models
    • Coussement, B., Benoit, D. F., & Van den Poel, D. (2010). Improved marketing decision making in a customer churn prediction context using generalized additive models. Expert Systems with Applications, 37(3), 2132-2143. doi:10.1016/j.eswa.2009.07.029
    • (2010) Expert Systems with Applications , vol.37 , Issue.3 , pp. 2132-2143
    • Coussement, B.1    Benoit, D.F.2    Van den Poel, D.3
  • 79
    • 79551553504 scopus 로고    scopus 로고
    • Ensembles of Probability Estimation Trees for Customer Churn Prediction, Trends In Applied Intelligent Systems, Pt Ii
    • De Bock, K., & Van den Poel, D. (2010). Ensembles of Probability Estimation Trees for Customer Churn Prediction, Trends In Applied Intelligent Systems, Pt Ii. Lecture Notes in Artificial Intelligence, 6097, 57-66.
    • (2010) Lecture Notes in Artificial Intelligence , vol.6097 , pp. 57-66
    • De Bock, K.1    Van den Poel, D.2
  • 80
    • 0347592341 scopus 로고    scopus 로고
    • An LTV model and customer segmentation based on customer value: A case study on the wireless telecommunication industry
    • Hwang, T., & Suh, E. (2004). An LTV model and customer segmentation based on customer value: A case study on the wireless telecommunication industry. Expert Systems with Applications, 26(2), 181-188. doi:10.1016/S0957-4174(03)00133-7
    • (2004) Expert Systems with Applications , vol.26 , Issue.2 , pp. 181-188
    • Hwang, T.1    Suh, E.2
  • 81
    • 35048841820 scopus 로고    scopus 로고
    • Analyzing Customer Churn in Insurance Data
    • LNCS, Berlin: Springer
    • Morik, K., & Opcke, H. (2004). Analyzing Customer Churn in Insurance Data. In Proceedings of Knowledge Discovery in Databases (LNCS) (vol. 3202, pp. 325-336). Berlin: Springer. doi: 10.1007/978-3-540-30116-5_31
    • (2004) Proceedings of Knowledge Discovery in Databases , vol.3202 , pp. 325-336
    • Morik, K.1    Opcke, H.2
  • 82
    • 1942533487 scopus 로고    scopus 로고
    • Evaluation of decision trees: A multi-criteria approach
    • Osei-Bryson, K. (2004). Evaluation of decision trees: A multi-criteria approach. Computers & Operations Research, 31(11), 1933-1945. doi:10.1016/S0305-0548(03)00156-4
    • (2004) Computers & Operations Research , vol.31 , Issue.11 , pp. 1933-1945
    • Osei-Bryson, K.1
  • 85
    • 70449521306 scopus 로고    scopus 로고
    • Variable selection by association rules for customer churn prediction of multimedia on demand
    • Tsai, C., & Chen, M. (2010). Variable selection by association rules for customer churn prediction of multimedia on demand. Expert Systems with Applications, 37(3), 2006-2015. doi:10.1016/j.eswa.2009.06.076
    • (2010) Expert Systems with Applications , vol.37 , Issue.3 , pp. 2006-2015
    • Tsai, C.1    Chen, M.2
  • 86
    • 69249209759 scopus 로고    scopus 로고
    • Customer churn prediction by hybrid neural networks
    • Tsai, C., & Lu, Y. (2009). Customer churn prediction by hybrid neural networks. Expert Systems with Applications, 36(10), 12547-12553. doi:10.1016/j.eswa.2009.05.032
    • (2009) Expert Systems with Applications , vol.36 , Issue.10 , pp. 12547-12553
    • Tsai, C.1    Lu, Y.2
  • 87
    • 84960318668 scopus 로고    scopus 로고
    • Retrieved from
    • Cooper, C. (2011). 10 Tips for Retaining Loyal Guests. Retrieved from http://www.hotelnewsnow.com/Articles.aspx/6068/10-tips-for-retaining-loyal-guests
    • (2011) 10 Tips for Retaining Loyal Guests
    • Cooper, C.1
  • 88
    • 84960266847 scopus 로고    scopus 로고
    • n.d, Retreived from
    • GFK. (n.d.). Stats report Croatia 1995-2010. Retreived from http://www.gfk.hr/public_relations/press/press_articles/006398/index.hr.html
    • Stats report Croatia 1995-2010
  • 90
    • 84960267032 scopus 로고    scopus 로고
    • Institut prodaje/Seles Institute. Retreived from
    • Majer, A. (2009). The Selling Process. Institut prodaje/Seles Institute. Retreived from http://kakoprodavati.com
    • (2009) The Selling Process
    • Majer, A.1
  • 91
  • 94
    • 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. H., Han, S. P., & Lee, Y. S. (2006). 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. doi:10.1016/j.telpol.2006.09.006
    • (2006) Telecommunications Policy , vol.30 , Issue.10-11 , pp. 552-568
    • Ahn, J.H.1    Han, S.P.2    Lee, Y.S.3
  • 95
    • 0003577150 scopus 로고    scopus 로고
    • Data Mining Techniques for Marketing Sales and Customer Support
    • Wiley
    • Berry, M., & Linhoff, G. (2004). Data Mining Techniques for Marketing Sales and Customer Support. Wiley.
    • (2004)
    • Berry, M.1    Linhoff, G.2
  • 96
    • 36048961066 scopus 로고    scopus 로고
    • Toward a hybrid data mining model for customer retention
    • Chu, B., Tsai, M., & Ho, T. (2007). Toward a hybrid data mining model for customer retention. Knowledge-Based Systems, 20(8), 703-718. doi:10.1016/j.knosys. 2006.10.003
    • (2007) Knowledge-Based Systems , vol.20 , Issue.8 , pp. 703-718
    • Chu, B.1    Tsai, M.2    Ho, T.3
  • 98
    • 84961779508 scopus 로고    scopus 로고
    • Retrieved from
    • Lazarov, V., & Capota, M. (2010). Churn Prediction. Retrieved from http://home. in.tum.de/~lazarov/files/research/papers/churn-prediction.pdf
    • (2010) Churn Prediction
    • Lazarov, V.1    Capota, M.2
  • 99
    • 1942533487 scopus 로고    scopus 로고
    • Evaluation of decision trees: A multi-criteria approach
    • Osei-Bryson, K. (2004). Evaluation of decision trees: A multi-criteria approach. Computers & Operations Research, 31(11), 1933-1945. doi:10.1016/S0305-0548(03)00156-4
    • (2004) Computers & Operations Research , vol.31 , Issue.11 , pp. 1933-1945
    • Osei-Bryson, K.1
  • 100
    • 84960292371 scopus 로고    scopus 로고
    • Classification of Churn and non-Churn Customers for Telecommunication Companies
    • Rashid, T. (2010). Classification of Churn and non-Churn Customers for Telecommunication Companies. International Journal of Biometrics and Bioinformatics, 3(5).
    • (2010) International Journal of Biometrics and Bioinformatics , vol.3 , Issue.5
    • Rashid, T.1
  • 101
    • 84960235287 scopus 로고    scopus 로고
    • Evaluations of Data Mining Methods in Order to Provide the Optimum Method for Customer Churn Prediction: Case Study Insurance Industry
    • ICICA 2012, ICICA
    • Soeini, R., & Rodpysh, K. (2012). Evaluations of Data Mining Methods in Order to Provide the Optimum Method for Customer Churn Prediction: Case Study Insurance Industry. In Proceedings of 2012 International Conference on Information and Computer Applications (ICICA 2012). ICICA.
    • (2012) Proceedings of 2012 International Conference on Information and Computer Applications
    • Soeini, R.1    Rodpysh, K.2
  • 103
    • 70449521306 scopus 로고    scopus 로고
    • Variable selection by association rules for customer churn prediction of multimedia on demand
    • Tsai, C., & Chen, M. (2010). Variable selection by association rules for customer churn prediction of multimedia on demand. Expert Systems with Applications, 37(3), 2006-2015. doi:10.1016/j.eswa.2009.06.076
    • (2010) Expert Systems with Applications , vol.37 , Issue.3 , pp. 2006-2015
    • Tsai, C.1    Chen, M.2
  • 104
    • 69249209759 scopus 로고    scopus 로고
    • Customer churn prediction by hybrid neural networks
    • Tsai, C., & Lu, Y. (2009). Customer churn prediction by hybrid neural networks. Expert Systems with Applications, 36(10), 12547-12553. doi:10.1016/j.eswa.2009.05.032
    • (2009) Expert Systems with Applications , vol.36 , Issue.10 , pp. 12547-12553
    • Tsai, C.1    Lu, Y.2
  • 107
    • 1042281169 scopus 로고    scopus 로고
    • The effects of customer satisfaction and switching barriers on customer loyalty in Korean mobile telecommunication services
    • Kim, P., Park, M.-C., & Jeong, D.-H. (2004). The effects of customer satisfaction and switching barriers on customer loyalty in Korean mobile telecommunication services. Telecommunications Policy, 28(2), 145-159. doi:10.1016/j.telpol.2003.12.003
    • (2004) Telecommunications Policy , vol.28 , Issue.2 , pp. 145-159
    • Kim, P.1    Park, M.-C.2    Jeong, D.-H.3
  • 108
    • 84960224033 scopus 로고    scopus 로고
    • Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries
    • P. M. Vasant (Ed.), Hershey, PA: IGI Global
    • Klepac, G. (2014). Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries. In P. M. Vasant (Ed.), Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications. Hershey, PA: IGI Global.
    • (2014) Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications
    • Klepac, G.1
  • 110
    • 0032863138 scopus 로고    scopus 로고
    • Subscriber churn in the Australian ISP market
    • Madden, Savage, & Coble-Neal. (1999). Subscriber churn in the Australian ISP market. Information Economics and Policy, 11(2), 195-207.
    • (1999) Information Economics and Policy , vol.11 , Issue.2 , pp. 195-207
    • Madden, S.1    Coble-Neal2
  • 112
    • 7044235545 scopus 로고    scopus 로고
    • Combating the churn phenomenon
    • Silber. (1997). Combating the churn phenomenon. Telecommunications, 31(10), 77-81.
    • (1997) Telecommunications , vol.31 , Issue.10 , pp. 77-81
  • 114
    • 84960223568 scopus 로고    scopus 로고
    • Data Mining. Elsevier
    • Whitten, I. H., & Frank, T. (2005). Data Mining. Elsevier.
    • (2005)
    • Whitten, I.H.1    Frank, T.2
  • 115
    • 84960224885 scopus 로고    scopus 로고
    • n.d, Retrieved from
    • CSBSJU. (n.d.). Retrieved from http://www.physics.csbsju.edu/stats/KS-test.html
  • 117
    • 4043168317 scopus 로고    scopus 로고
    • Retrieved from
    • Kirkman, T. W. (1996). Statistics to Use. Retrieved from http://www.physics.csbsju.edu/stats/KS-test.html
    • (1996) Statistics to Use
    • Kirkman, T.W.1
  • 121
  • 125
    • 4243500233 scopus 로고    scopus 로고
    • University of Nebraska Medical Center. Retrieved from
    • Taper, T. G. (1999). Interpreting Diagnostic Tests. University of Nebraska Medical Center. Retrieved from http://gim.unmc.edu/dxtests/roc3.htm
    • (1999) Interpreting Diagnostic Tests
    • Taper, T.G.1
  • 126
    • 84960261105 scopus 로고    scopus 로고
    • n.d, Retrieved from
    • UNMC. (n.d.). Retrieved from http://gim.unmc.edu/dxtests/Default.htm
  • 128
    • 0003392710 scopus 로고
    • Masters of Sociological Thought: Ideas in Historical and Social Context
    • 2nd ed, New York, NY: Harcourt
    • Coser, L. A. (1977). Masters of Sociological Thought: Ideas in Historical and Social Context (2nd ed.). New York, NY: Harcourt.
    • (1977)
    • Coser, L.A.1
  • 133
    • 84945132287 scopus 로고    scopus 로고
    • Preparing for New Competition in the Retail Industry
    • A. Syvajarvi, & J. Stenvall (Eds.), Hershey, PA: Information Science Reference
    • Klepac, G. (2010). Preparing for New Competition in the Retail Industry. In A. Syvajarvi, & J. Stenvall (Eds.), Data Mining in Public and Private Sectors: Organizational and Government Applications (pp. 245-266). Hershey, PA: Information Science Reference. doi:10.4018/978-1-60566-906-9.ch013
    • (2010) Data Mining in Public and Private Sectors: Organizational and Government Applications , pp. 245-266
    • Klepac, G.1
  • 134
    • 84898306643 scopus 로고    scopus 로고
    • Risk Evaluation in the Insurance Company Using REFII Model
    • S. Dehuri, M. Patra, B. Misra, & A. Jagadev (Eds.), Hershey, PA: Information Science Reference
    • Klepac, G. (2013). Risk Evaluation in the Insurance Company Using REFII Model. In S. Dehuri, M. Patra, B. Misra, & A. Jagadev (Eds.), Intelligent Techniques in Recommendation Systems: Contextual Advancements and New Methods (pp. 84-104). Hershey, PA: Information Science Reference.
    • (2013) Intelligent Techniques in Recommendation Systems: Contextual Advancements and New Methods , pp. 84-104
    • Klepac, G.1
  • 135
    • 84960224033 scopus 로고    scopus 로고
    • Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries
    • P. M. Vasant (Ed.), Hershey, PA: IGI Global
    • Klepac, G. (2014). Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries. In P. M. Vasant (Ed.), Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications. Hershey, PA: IGI Global.
    • (2014) Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications
    • Klepac, G.1
  • 136
    • 80052811795 scopus 로고    scopus 로고
    • Retreieved from Rayland Levesque's website
    • Maletta, H. (2006). Weighting. Retreieved from Rayland Levesque's website: http://www.spsstools.net/Tutorials/weighting.pdf
    • (2006) Weighting.
    • Maletta, H.1
  • 140
    • 0003213364 scopus 로고
    • How is Society Possible?
    • Chicago, IL: University of Chicago Press
    • Simmel, G. (1971). How is Society Possible?. In On Individuality and Social Forms. Chicago, IL: University of Chicago Press.
    • (1971) On Individuality and Social Forms
    • Simmel, G.1
  • 141
    • 84862658617 scopus 로고    scopus 로고
    • Social Network Analysis: History, Concepts, and Research
    • New York, NY: Springer
    • Zhang, M. (2010). Social Network Analysis: History, Concepts, and Research. In Handbook of Social Network Technologies and Applications. New York, NY: Springer. doi:10.1007/978-1-4419-7142-5_1
    • (2010) Handbook of Social Network Technologies and Applications
    • Zhang, M.1
  • 143
    • 0003577150 scopus 로고    scopus 로고
    • Data mining techniques for marketing sales and customer support
    • New York: John Wiley & Sons Inc
    • Berry, J. A. M., & Linoff, G. (1997). Data mining techniques for marketing sales and customer support. New York: John Wiley & Sons Inc.
    • (1997)
    • Berry, J.A.M.1    Linoff, G.2
  • 149
    • 84945132287 scopus 로고    scopus 로고
    • Preparing for New Competition in the Retail Industry
    • A. Syvajarvi, & J. Stenvall (Eds.), Hershey, PA: Information Science Reference
    • Klepac, G. (2010). Preparing for New Competition in the Retail Industry. In A. Syvajarvi, & J. Stenvall (Eds.), Data Mining in Public and Private Sectors: Organizational and Government Applications (pp. 245-266). Hershey, PA: Information Science Reference. doi:10.4018/978-1-60566-906-9.ch013
    • (2010) Data Mining in Public and Private Sectors: Organizational and Government Applications , pp. 245-266
    • Klepac, G.1
  • 150
    • 84960224033 scopus 로고    scopus 로고
    • Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries
    • P. M. Vasant (Ed.), Hershey, PA: IGI Global
    • Klepac, G. (2014). Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries. In P. M. Vasant (Ed.), Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications. Hershey, PA: IGI Global.
    • (2014) Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications
    • Klepac, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.