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Optimal selection of potential customer range through the union sequential pattern by using a response model
13 references·2 citing·40 second hop
Optimal selection of potential customer range through the union sequential pattern by using a response model (2010)Optimal selection of potential customer r…Quantitative models for direct marketing: A review from systems perspective (2008)Quantitative models for direc…Handling class imbalance in customer churn prediction (2008)Handling class imbalance in c…Response modeling with support vector regression (2006)Response modeling with suppor…Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Defection Detection: Measurin…Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry (2006)Customer churn analysis: Chur…Response modeling with support vector machines (2005)Response modeling with suppor…Constructing response model using ensemble based on feature subset selection (2005)Constructing response model u…Constrained optimization of data-mining problems to improve model performance: A direct-marketing application (2005)Constrained optimization of d…Applying data mining to telecom churn management (2005)Applying data mining to telec…Multi-attribute scoring method for mobile telecommunication subscribers (2003)Multi-attribute scoring metho…Determining the appropriate amount of data for classifying consumers for direct marketing purposes (2003)Determining the appropriate a…Turning telecommunications call details to churn prediction: a data mining approach (2002)Turning telecommunications ca…Estimating campaign benefits and modeling lift (1999)Estimating campaign benefits …Customer Relationship Management and Data Mining (2013)Customer Relationship Managem…Including spatial interdependence in customer acquisition models: A cross-category comparison (2012)Including spatial interdepend…The Value of Purchase History Data in Target Marketing (1996)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Spinning out new ventures: a typology of incubation strategies from European research institutions (2004)Application of data mining to the spatial heterogeneity of foreclosed mortgages (2009)Mining customer knowledge to implement online shopping and home delivery for hypermarkets (2010)Global data mining: An empirical study of current trends, future forecasts and technology diffusions (2012)Data mining for direct marketing: problems and solutions (1998)Configuration of Detection Software: A Comparison of Decision and Game Theory Approaches (2004)Mining churning behaviors and developing retention strategies based on a partial least squares (PLS) model (2011)A Data-Driven Approach to Predict Default Risk of Loan for Online Peer-to-Peer (P2P) Lending (2015)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)A robust optimization approach to wine grape harvesting scheduling (2008)Supply chain performance evaluation with data envelopment analysis and balanced scorecard approach (2014)Research on the influence of after-sales service quality factors on customer satisfaction (2020)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Modeling Customer Lifetime Value (2006)Evaluating multiple classifiers for stock price direction prediction (2015)Customer churn prediction in telecom using machine learning in big data platform (2019)Building Data Mining Applications for CRM (1999)Knowledge management and data mining for marketing (2001)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)A comparison of machine learning techniques for customer churn prediction (2015)Applying neural computing to target marketing (1997)Direct marketing modeling with CART and CHAID (1997)Data augmentation by predicting spending pleasure using commercially available external data (2009)Semi-Supervised Response Modeling (2009)Class balancing in customer segments classification using support vector machine rule extraction and ensemble learning (2020)Zero defections: quality comes to services. (1990)A National Customer Satisfaction Barometer: The Swedish Experience (1992)Customer Switching Behavior in Service Industries: An Exploratory Study (1995)Variable selection by association rules for customer churn prediction of multimedia on demand (2009)How value and trust influence loyalty in wireless telecommunications industry (2012)Improved churn prediction in telecommunication industry using data mining techniques (2014)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)A survey of results on mobile phone datasets analysis (2015)A stochastic RFM model (1999)Customer event history for churn prediction: How long is long enough? (2012)Managing Customer Relationships in the Social Media Era: Introducing the Social CRM House (2013)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)
this work references cited by second hop

References

  • 2006Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models574 cited
  • 2008Handling class imbalance in customer churn prediction552 cited
  • 2005Applying data mining to telecom churn management514 cited
  • 2002Turning telecommunications call details to churn prediction: a data mining approach460 cited
  • 2006Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry325 cited
  • 2008Quantitative models for direct marketing: A review from systems perspective182 cited
  • 2005Response modeling with support vector machines92 cited
  • 1999Estimating campaign benefits and modeling lift74 cited
  • 2005Constrained optimization of data-mining problems to improve model performance: A direct-marketing application67 cited
  • 2006Response modeling with support vector regression50 cited
  • 2003Multi-attribute scoring method for mobile telecommunication subscribers37 cited
  • 2003Determining the appropriate amount of data for classifying consumers for direct marketing purposes31 cited
  • 2005Constructing response model using ensemble based on feature subset selection28 cited

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  • 2012Including spatial interdependence in customer acquisition models: A cross-category comparison

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14 cited
  • 2013Customer Relationship Management and Data Mining10 cited