2017-12-22
Predicting Churn with Data Mining Technology: Helpful Insights for Customer Retention in the Insurance Industry
Publication
Publication
| Additional Metadata | |
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| , , | |
| Li, Ting, Molenaar, Cor | |
| hdl.handle.net/2105/42438 | |
| Business Information Management | |
| Organisation | Rotterdam School of Management |
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Sintmaartensdijk, Rick. (2017, December 22). Predicting Churn with Data Mining Technology: Helpful Insights for Customer Retention in the Insurance Industry. Business Information Management. Retrieved from http://hdl.handle.net/2105/42438 |
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