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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chen Yu-bao Li Bao-sheng Ge Xin-quan |
| Copyright Year | 2011 |
| Abstract | This paper first confines and analyzes the meaning of churn management in a mobile telecommunication industry and key influencing factors, designs a new prediction model to deal with the churn management of mobile telecommunication company through data mining based on several the conventional algorithms of data mining. and then describes the whole process to use predictive model to solve a churn management problem by an case come from industry company. Based on SAS Enterprise Miner to design predictive model for churn management, which will provides a foundation to predict the data of customer churn and lower the rates of churns. |
| Starting Page | 114 |
| Ending Page | 117 |
| File Size | 346290 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457715419 |
| DOI | 10.1109/BIFE.2011.112 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-17 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Predictive Model Companies Predictive models Mobile communication Data Mining Data models Customer Churn Data mining Decision trees |
| Content Type | Text |
| Resource Type | Article |
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