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Bayesian neural network learning for repeat purchase modelling in direct marketing
6 references·16 citing·49 second hop
Bayesian neural network learning for repeat purchase modelling in direct marketing (2002)Bayesian neural network learning for repe…Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)Customer base analysis: parti…Customer attrition analysis for financial services using proportional hazard models (2003)Customer attrition analysis f…Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Artificial neural networks in…Hybrid neural network models for bankruptcy predictions (1996)Hybrid neural network models …A comparison of neural networks and linear scoring models in the credit union environment (1996)A comparison of neural networ…Successful direct marketing methods (1975)Successful direct marketing m…Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry (2016)Customers churn prediction an…Predicting Customer Value Using Clumpiness: From RFM to RFMC (2014)Predicting Customer Value Usi…A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services (2013)A Neural Network based Approa…Direct marketing decision support through predictive customer response modeling (2012)Direct marketing decision sup…Customer event history for churn prediction: How long is long enough? (2012)Customer event history for ch…Quantitative models for direct marketing: A review from systems perspective (2008)Quantitative models for direc…Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers (2008)Improving customer attrition …Genetic algorithm based neural network approaches for predicting churn in cellular wireless network services (2008)Genetic algorithm based neura…Customer Equity Drivers and Future Sales (2008)Customer Equity Drivers and F…A reference model for customer-centric data mining with support vector machines (2008)A reference model for custome…Machine Learning for Direct Marketing Response Models: Bayesian Networks with Evolutionary Programming (2006)Machine Learning for Direct M…Predicting customer loyalty using the internal transactional database (2005)Predicting customer loyalty u…Neural network survival analysis for personal loan data (2005)Neural network survival analy…Joint optimization of customer segmentation and marketing policy to maximize long-term profitability (2004)Joint optimization of custome…Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers (2003)Bayesian network classifiers …The survival of venture capital backed companies (2002)The survival of venture capit…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Common method biases in behavioral research: A critical review of the literature and recommended remedies. 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this work references cited by second hop

References

  • 1999Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis677 cited
  • 1996A comparison of neural networks and linear scoring models in the credit union environment522 cited
  • 2003Customer attrition analysis for financial services using proportional hazard models430 cited
  • 2004Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting425 cited
  • 1996Hybrid neural network models for bankruptcy predictions257 cited
  • 1975Successful direct marketing methods230 cited

Cited by

  • 2008Customer Equity Drivers and Future Sales441 cited
  • 2006Machine Learning for Direct Marketing Response Models: Bayesian Networks with Evolutionary Programming200 cited
  • 2004Joint optimization of customer segmentation and marketing policy to maximize long-term profitability192 cited
  • 2008Quantitative models for direct marketing: A review from systems perspective182 cited
  • 2002The survival of venture capital backed companies182 cited
  • 2016Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry161 cited
  • 2003Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers161 cited

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2013
A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services
149 cited
  • 2014Predicting Customer Value Using Clumpiness: From RFM to RFMC146 cited
  • 2005Neural network survival analysis for personal loan data145 cited
  • 2008Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers141 cited
  • 2008Genetic algorithm based neural network approaches for predicting churn in cellular wireless network services117 cited
  • 2005Predicting customer loyalty using the internal transactional database87 cited
  • 2008A reference model for customer-centric data mining with support vector machines86 cited
  • 2012Direct marketing decision support through predictive customer response modeling77 cited
  • 2012Customer event history for churn prediction: How long is long enough?77 cited