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Bayesian neural network learning for repeat purchase modelling in direct marketing · Study

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ArticleBayesian neural network learning for repeat purchase modelling in direct marketing

Bart Baesens2002

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Articlegreen2002

Bayesian neural network learning for repeat purchase modelling in direct marketing

Bart Baesens · Stijn Viaene · Dirk Van den Poel · Jan Vanthienen · Guido Dedene

218 citations·0/0 files stored·European Journal of Operational Research

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Customer churn and segmentation Forecasting Techniques and Applications Data Mining and Machine Learning Applications

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References

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

Cited by

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

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Year2002

Typearticle

Published2002-04-01

VenueEuropean Journal of Operational Research

ISSN-L0377-2217

Languageen

Citations218

Files0 public / 0

ShelfCustomer churn and segmentation

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doi10.1016/s0377-2217(01)00129-1

openalex_workW2077575809

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2013A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services