Applying Data Mining to Insurance Customer Churn Management
暂无分享,去创建一个
[1] Cheng-Seen Ho,et al. Toward a hybrid data mining model for customer retention , 2007, Knowl. Based Syst..
[2] Vadlamani Ravi,et al. Data Mining via Rules Extracted from GMDH: An Application to Predict Churn in Bank Credit Cards , 2010, KES.
[3] Cheng-Jung Lin,et al. Goal-oriented sequential pattern for network banking churn analysis , 2003, Expert Syst. Appl..
[4] Donald K. Wedding,et al. Discovering Knowledge in Data, an Introduction to Data Mining , 2005, Inf. Process. Manag..
[5] Shu-Chen Kao,et al. Targeting customers via discovery knowledge for the insurance industry , 2005, Expert Syst. Appl..
[6] Vadlamani Ravi,et al. Data Mining Using Rules Extracted from SVM: An Application to Churn Prediction in Bank Credit Cards , 2009, RSFDGrC.
[7] Xin Yao,et al. A novel evolutionary data mining algorithm with applications to churn prediction , 2003, IEEE Trans. Evol. Comput..
[8] Cao Kang,et al. Customer Churn Prediction Based on SVM-RFE , 2008, 2008 International Seminar on Business and Information Management.
[9] Kristof Coussement,et al. Faculteit Economie En Bedrijfskunde Hoveniersberg 24 B-9000 Gent Churn Prediction in Subscription Services: an Application of Support Vector Machines While Comparing Two Parameter-selection Techniques Churn Prediction in Subscription Services: an Application of Support Vector Machines While Comparin , 2022 .
[10] Jing Zhao,et al. Bank Customer Churn Prediction Based on Support Vector Machine: Taking a Commercial Bank's VIP Customer Churn as the Example , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.
[11] Rupesh K. Gopal,et al. Customer Churn Time Prediction in Mobile Telecommunication Industry Using Ordinal Regression , 2008, PAKDD.
[12] Hong Xu,et al. Churn Prediction in Telecom Using a Hybrid Two-phase Feature Selection Method , 2009, 2009 Third International Symposium on Intelligent Information Technology Application.
[13] Maurizio Naldi. A Simple Model for the Effectiveness of Delaying Strategies for Telecommunications Churn Reduction , 2008, Tenth International Conference on Computer Modeling and Simulation (uksim 2008).
[14] Ning Wang,et al. Credit card customer churn prediction based on the RST and LS-SVM , 2009, 2009 6th International Conference on Service Systems and Service Management.
[15] Chen Yun,et al. Predict the churn and silent customers: A case study of individual investors , 2009, 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems.
[16] Chen Wang,et al. An experimental study on four models of customer churn prediction , 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.
[17] Daniel Westreich,et al. Propensity score estimation: neural networks, support vector machines, decision trees (CART), and meta-classifiers as alternatives to logistic regression. , 2010, Journal of clinical epidemiology.
[18] Bart Baesens,et al. Modeling churn using customer lifetime value , 2009, Eur. J. Oper. Res..
[19] Przemyslaw Kazienko,et al. The Influence of Customer Churn and Acquisition on Value Dynamics of Social Neighbourhoods , 2009, WSKS.
[20] Wagner A. Kamakura,et al. Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models , 2006 .
[21] Yeli Li,et al. Behavior-Based Telecommunication Churn Prediction with Neural Network Approach , 2011, 2011 International Symposium on Computer Science and Society.
[22] Jiawei Han,et al. Data Mining: Concepts and Techniques , 2000 .
[23] Jiayin Qi,et al. A hybrid KNN-LR classifier and its application in customer churn prediction , 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.
[24] W. Flannery,et al. A study of the relationships between service failures and customer churn in a telecommunications environment , 2009, PICMET '09 - 2009 Portland International Conference on Management of Engineering & Technology.
[25] Dirk Van den Poel,et al. CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services , 2007, Expert Syst. Appl..
[26] E Xu,et al. An Algorithm for Predicting Customer Churn via BP Neural Network Based on Rough Set , 2006, 2006 IEEE Asia-Pacific Conference on Services Computing (APSCC'06).
[27] Dirk Van den Poel,et al. Separating financial from commercial customer churn: A modeling step towards resolving the conflict between the sales and credit department , 2008, Expert Syst. Appl..
[28] Bart Baesens,et al. Domain knowledge integration in data mining using decision tables: case studies in churn prediction , 2009, J. Oper. Res. Soc..
[29] Y. Ilker Topcu,et al. Applying Bayesian Belief Network approach to customer churn analysis: A case study on the telecom industry of Turkey , 2011, Expert Syst. Appl..
[30] Wei Jiang,et al. Churn detection via customer profile modelling , 2006 .
[31] Dan Zhang,et al. A Study on Prediction of Customer Churn in Fixed Communication Network Based on Data Mining , 2009, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery.
[32] Bart Baesens,et al. Building comprehensible customer churn prediction models with advanced rule induction techniques , 2011, Expert Syst. Appl..
[33] Chih-Ping Wei,et al. Turning telecommunications call details to churn prediction: a data mining approach , 2002, Expert Syst. Appl..
[34] Ashutosh Tiwari,et al. Computer assisted customer churn management: State-of-the-art and future trends , 2007, Comput. Oper. Res..
[35] Chih-Fong Tsai,et al. Customer churn prediction by hybrid neural networks , 2009, Expert Syst. Appl..
[36] Li Xiu,et al. The Application ofAdaBoost in Customer Churn Prediction , 2007, 2007 International Conference on Service Systems and Service Management.
[37] Guo-en Xia,et al. Model of Customer Churn Prediction on Support Vector Machine , 2008 .
[38] David C. Yen,et al. Applying data mining to telecom churn management , 2006, Expert Syst. Appl..
[39] N. F. F. Ebecken,et al. Telco Churn Analysis Classification Using AWavelet And RBF Approach , 2006 .
[40] Sun Kim,et al. An Application of Support Vector Machines for Customer Churn Analysis: Credit Card Case , 2005, ICNC.
[41] Zhou Min,et al. Study on the Dual Optimization of Service Marketing and Customer Churn Management , 2008, 2008 International Seminar on Business and Information Management.
[42] Kristof Coussement,et al. Integrating the voice of customers through call center emails into a decision support system for churn prediction , 2008, Inf. Manag..
[43] Dirk C. Mattfeld,et al. Synergies of Operations Research and Data Mining , 2010, Eur. J. Oper. Res..
[44] Yeon Hur,et al. Customer Churning Prediction Using Support Vector Machines in Online Auto Insurance Service , 2005, ISNN.
[45] Eric W. T. Ngai,et al. Customer churn prediction using improved balanced random forests , 2009, Expert Syst. Appl..
[46] Yong Shi,et al. The Analysis on the Customers Churn of Charge Email Based on Data Mining Take One Internet Company for Example , 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).
[47] Kun Chang Lee,et al. Bayesian Network Approach to Predict Mobile Churn Motivations: Emphasis on General Bayesian Network, Markov Blanket, and What-If Simulation , 2010, FGIT.
[48] Behzad Moshiri,et al. A Hybrid Approach to Predict Churn , 2010, 2010 IEEE Asia-Pacific Services Computing Conference.
[49] Bogdan Gabrys,et al. A Non-sequential Representation of Sequential Data for Churn Prediction , 2009, KES.
[50] Luo Bin,et al. Customer Churn Prediction Based on the Decision Tree in Personal Handyphone System Service , 2007, 2007 International Conference on Service Systems and Service Management.
[51] Hee-Su Kim,et al. Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market , 2004 .
[52] Gwo-Hshiung Tzeng,et al. Combined rough set theory and flow network graph to predict customer churn in credit card accounts , 2011, Expert Syst. Appl..
[53] Yuan-yuan Zhang,et al. An Empirical Study of Customer Churn in E-Commerce Based on Data Mining , 2010, 2010 International Conference on Management and Service Science.
[54] Xiaohang Zhang,et al. Predicting customer churn by integrating the effect of the customer contact network , 2010, Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics.
[55] Katharina Morik,et al. Analysing Customer Churn in Insurance Data - A Case Study , 2004, PKDD.
[56] Lijia Guo,et al. Applying Data Mining Techniques in Property/Casualty Insurance , 2003 .
[57] Vadlamani Ravi,et al. Predicting credit card customer churn in banks using data mining , 2008, Int. J. Data Anal. Tech. Strateg..
[58] Zhenyu Chen,et al. Building comprehensible customer churn prediction models: A multiple kernel support vector machines approach , 2011, ICSSSM11.
[59] M. Tahar Kechadi,et al. Multi-objective feature selection by using NSGA-II for customer churn prediction in telecommunications , 2010, Expert Syst. Appl..