Research on Customer Churn Model with Least Square Support Vector Machine
China telecommunications market is becoming more competitive, the operators are facing the severe costumer churn problem, and how to predict and effectively reduce the costumer churn directly concerns the survival and development of every operator. Therefore, the least squares support vector machine...
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| Published in | Applied Mechanics and Materials Vol. 236-237; pp. 869 - 874 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Zurich
Trans Tech Publications Ltd
01.11.2012
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| Subjects | |
| Online Access | Get full text |
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| Abstract | China telecommunications market is becoming more competitive, the operators are facing the severe costumer churn problem, and how to predict and effectively reduce the costumer churn directly concerns the survival and development of every operator. Therefore, the least squares support vector machine(LS-SVM) algorithm is adopted to build customer churn model, mainly including data cleaning, normalization, building forecasting model, model prediction, etc. The case study shows that the customer churn prediction using the LS-LSV has high precision, small error and remarkable effect. |
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| AbstractList | China telecommunications market is becoming more competitive, the operators are facing the severe costumer churn problem, and how to predict and effectively reduce the costumer churn directly concerns the survival and development of every operator. Therefore, the least squares support vector machine(LS-SVM) algorithm is adopted to build customer churn model, mainly including data cleaning, normalization, building forecasting model, model prediction, etc. The case study shows that the customer churn prediction using the LS-LSV has high precision, small error and remarkable effect. |
| Author | Xia, Tai Wu |
| Author_xml | – givenname: Tai Wu surname: Xia fullname: Xia, Tai Wu email: xtw20103109@163.com organization: Shaoyang University : Department of Information and Electrical Engineering |
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| Cites_doi | 10.1023/A:1018628609742 10.1142/5089 10.1007/978-1-4757-2440-0 |
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| Copyright | 2012 Trans Tech Publications Ltd Copyright Trans Tech Publications Ltd. Nov 2012 |
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| DOI | 10.4028/www.scientific.net/AMM.236-237.869 |
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| Keywords | Customer Churn Model Least Squares Support Vector Machines (Ls-SVM) Case Study |
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| Notes | Selected, peer reviewed papers from the 2012 3rd International Conference on Information Technology for Manufacturing Systems (ITMS 2012), September 8-9, 2012, Qingdao, China |
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| Snippet | China telecommunications market is becoming more competitive, the operators are facing the severe costumer churn problem, and how to predict and effectively... |
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| Title | Research on Customer Churn Model with Least Square Support Vector Machine |
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