Citation map · Study

SZodixStudyAcademic Library

Dashboard Shelves Open access My library Inbox Notes Write Learn Alerts

More

Ask your library Notifications Quick cite Review

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

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

16 references·4 citing·43 second hop

FromToDepth

this work references cited by second hop

References

1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting20,469 cited
1970Marketing Research3,552 cited
1998Data mining for direct marketing: problems and solutions658 cited
2003An LTV model and customer segmentation based on customer value: a case study on the wireless telecommunication industry411 cited
2002Bayesian neural network learning for repeat purchase modelling in direct marketing218 cited
2004Customizing Promotions in Online Stores202 cited
2004Joint optimization of customer segmentation and marketing policy to maximize long-term profitability192 cited
2004A purchase-based market segmentation methodology189 cited
2002Next-product-to-buy models for cross-selling applications161 cited
2005Customer Targeting: A Neural Network Approach Guided by Genetic Algorithms154 cited
1999A stochastic RFM model154 cited
2001Predictive modeling using segmentation111 cited
2006A dynamic segmentation approach for targeting and customizing direct marketing campaigns108 cited
2005Response models based on bagging neural networks107 cited
2000Mailing smarter to catalog customers92 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2005Response modeling with support vector machines92 cited

Cited by

2022Customer Response Model in Direct Marketing: Solving the Problem of Unbalanced Dataset with a Balanced Support Vector Machine19 cited
2015Improving direct mail targeting through customer response modeling19 cited
2020Class balancing in customer segments classification using support vector machine rule extraction and ensemble learning15 cited
2016A nonhomogeneous hidden Markov model of response dynamics and mailing optimization in direct marketing13 cited