摘要
随着3G市场的深入以及4G商用的开始,移动通信行业面临着激烈的竞争,企业的发展型态已由过去以产品为中心的经营方式转变成为以客户为中心的消费型态。企业的发展必须以对客户的需求和消费行为的了解为重心,否则将会流失重大的商机。对于移动通信行业来说,如何通过数据挖掘技术去找优质客户群及可能流失的客户群具有十分重要的意义。利用数据挖掘技术,通过建立模型,预测电信企业的客户流失情况,为企业提高效益提供参考。
For the deep-going of 3G markets and the beginning of 4G commercialization, the mobile indus- try faces fierce market competition. The development pattern of the enterprises changes from product-cen- tric operation mode in the past times to the customer-centric operation mode at present. The enterprise must, for its development, focus on the requirements and consuming behaviors, or otherwise it would lose the major business opportunities. It is very important for the mobile industry to find the high-quality cus- tomer groups and the possibly lost customer groups via data mining technology. This paper describes the model based on data mining technology. Simulation results show that this method can effectively forecast the customer loss of telecom enterprise, and provide a reference for enterprises to improve their efficiency.
出处
《通信技术》
2015年第6期724-728,共5页
Communications Technology
关键词
数据挖掘
移动通信
客户预测
data mining
telecommunication industry
customer prediction
