Application of the BP neural network classification model in the value-added services of telecom customers

摘要：

Currently, telecom value-added services are one of the main sources of revenue for China telecom and its operators. While, they lack of effective data mining methods because of they still simply and blindly relying on users free experience, telephone interviews and other traditional marketing tools. In this paper, we carry out a new analysis in statistical sence simply which applies the fitting method of cubic spline interpolation to describe the relationship between variables and target attribute. According to this analysis, a BP neural network classification model is established for the valueadded services of the telecom customers. This classification model is validated for some real samples of value-added services and achieved an average classification accuracy of 89.25％. The result demonstrates that the method of BP neural network classification can well assist operators to make a decision targeting and target customer groups for value-added service.

关键词： classification neural network value-added services

作者: Zhijun Gao Wenlong Ding Guanghui Wang

作者单位: Heilongjiang of Science and Technology College of Computer and Information Engineering Harbin, China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Advanced Computer Control(2011年IEEE第三届高端计算机控制国际会议 ICACC2011)

会议地点: 哈尔滨

会议语种:英文

页码: 620-623

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）