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Improved response modeling based on clustering, under-sampling, and ensemble · Study

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ArticleImproved response modeling based on clustering, under-sampling, and ensemble

Pilsung Kang2011

Article2011

Improved response modeling based on clustering, under-sampling, and ensemble

Pilsung Kang · Sungzoon Cho · Douglas L. MacLachlan

24 citations·0/0 files stored·Expert Systems with Applications

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Customer churn and segmentation Financial Distress and Bankruptcy Prediction Imbalanced Data Classification Techniques

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References

1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting 1970Marketing Research 1998Data mining for direct marketing: problems and solutions 2003An LTV model and customer segmentation based on customer value: a case study on the wireless telecommunication industry 2002Bayesian neural network learning for repeat purchase modelling in direct marketing 2004Customizing Promotions in Online Stores 2004Joint optimization of customer segmentation and marketing policy to maximize long-term profitability 2004A purchase-based market segmentation methodology

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2022Customer Response Model in Direct Marketing: Solving the Problem of Unbalanced Dataset with a Balanced Support Vector Machine 2015Improving direct mail targeting through customer response modeling 2020Class balancing in customer segments classification using support vector machine rule extraction and ensemble learning

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Details

Year2011

Typearticle

Published2011-12-29

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations24

Files0 public / 0

ShelfCustomer churn and segmentation

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doi10.1016/j.eswa.2011.12.028

openalex_workW2129135939

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