The Application of Data Mining in Mobile Subscriber Classification
Fu Haiming, Lingling Zhang, Yong Shi · 2007
In the field of mobile communication, subscriber classification is very important for company to identify market opportunity. A reasonable subscriber classification could produce an effective market pricing that could increase operator's revenue and market share. But how can we find this reasonable classification? This paper studies on mobile subscriber's revenue and behavior, and then build subscribers' classification model, which could explain some marketing activities, such as pricing. To the topic of mobile subscriber classification, there are some papers studies on, but most of them focus on subscribers' revenue and few focuses on subscribers' behavior. This paper's innovation is to study subscriber classification on both revenue and behavior. This paper refers to the method of data mining, model building, model illustration and model application.