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The improvement of response modeling: combining rule-induction and case-based reasoning
1 references·4 citing·18 second hop
The improvement of response modeling: combining rule-induction and case-based reasoning (2000)The improvement of response modeling: com…Data mining for direct marketing: problems and solutions (1998)Data mining for direct market…A nonhomogeneous hidden Markov model of response dynamics and mailing optimization in direct marketing (2016)A nonhomogeneous hidden Marko…A Cluster-Based Data Balancing Ensemble Classifier for Response Modeling in Bank Direct Marketing (2015)A Cluster-Based Data Balancin…Improved response modeling based on clustering, under-sampling, and ensemble (2011)Improved response modeling ba…Supervised Classification for Decision Support in Customer Relationship Management (2008)Supervised Classification for…Marketing Research (1970)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Improving direct mail targeting through customer response modeling (2015)Class balancing in customer segments classification using support vector machine rule extraction and ensemble learning (2020)Customer Response Model in Direct Marketing: Solving the Problem of Unbalanced Dataset with a Balanced Support Vector Machine (2022)Bagging and Boosting Classification Trees to Predict Churn (2006)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)A data-driven approach to predict the success of bank telemarketing (2014)E-Customization (2003)Return on Marketing: Using Customer Equity to Focus Marketing Strategy (2003)Manage Marketing by the Customer Equity Test (2010)Dynamic Programming Models for Maximizing Customer Lifetime Value: An Overview (2019)On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing (2000)The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration (2003)Customer-Centric Decision Support (2010)Handling class imbalance in customer churn prediction (2008)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Credit Risk Analysis Using Machine and Deep Learning Models (2018)
this work references cited by second hop

References

  • 1998Data mining for direct marketing: problems and solutions658 cited

Cited by

  • 2011Improved response modeling based on clustering, under-sampling, and ensemble24 cited
  • 2008Supervised Classification for Decision Support in Customer Relationship Management19 cited
  • 2015A Cluster-Based Data Balancing Ensemble Classifier for Response Modeling in Bank Direct Marketing15 cited
  • 2016A nonhomogeneous hidden Markov model of response dynamics and mailing optimization in direct marketing13 cited

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