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Supervised Classification for Decision Support in Customer Relationship Management
16 references·0 citing·42 second hop
Supervised Classification for Decision Support in Customer Relationship Management (2008)Supervised Classification for Decision Su…Knowledge Discovery and Data Mining (2007)Knowledge Discovery and Data …Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Churn prediction in subscript…Predicting customer retention and profitability by using random forests and regression forests techniques (2005)Predicting customer retention…Applying data mining to telecom churn management (2005)Applying data mining to telec…The Influence of Loyalty Programs and Short-Term Promotions on Customer Retention (2004)The Influence of Loyalty Prog…Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)Customer base analysis: parti…The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration (2003)The Impact of Customer Relati…An LTV model and customer segmentation based on customer value: a case study on the wireless telecommunication industry (2003)An LTV model and customer seg…Turning telecommunications call details to churn prediction: a data mining approach (2002)Turning telecommunications ca…Customer lifetime value research in marketing: A review and future directions (2002)Customer lifetime value resea…Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)Predicting subscriber dissati…On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing (2000)On the Profitability of Long-…Data mining for direct marketing: problems and solutions (1998)Data mining for direct market…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Decision-Theoretic Generali…The Value of Purchase History Data in Target Marketing (1996)The Value of Purchase History…Optimal Selection for Direct Mail (1995)Optimal Selection for Direct …Counting Your Customers: Who-Are They and What Will They Do Next? 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References

  • 1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting20,469 cited
  • 2000On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing1,364 cited
  • 2003The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration1,163 cited
  • 1996The Value of Purchase History Data in Target Marketing754 cited
  • 1998Data mining for direct marketing: problems and solutions658 cited
  • 2007Knowledge Discovery and Data Mining602 cited
  • 2002Customer lifetime value research in marketing: A review and future directions583 cited
  • 2004The Influence of Loyalty Programs and Short-Term Promotions on Customer Retention534 cited
  • 2005Applying data mining to telecom churn management514 cited
  • 2002Turning telecommunications call details to churn prediction: a data mining approach460 cited
  • 1995Optimal Selection for Direct Mail447 cited
  • 2006Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques432 cited
  • 2004Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting425 cited
  • 2003An LTV model and customer segmentation based on customer value: a case study on the wireless telecommunication industry

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411 cited
  • 2000Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry347 cited
  • 2005Predicting customer retention and profitability by using random forests and regression forests techniques308 cited
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