Parallel data mining method for identifying a mass of mobile client bases

The invention discloses a parallel data mining method for identifying a mass of mobile client bases. The parallel data mining method includes the steps of building a client value model and a client behavior model, classifying clients according to the client value model and the client behavior model, popularizing assigned preference services to the clients with the high purchasing power and the high potential purchasing inclination, and then achieving accurate marketing. According to the parallel data mining method, the mass of mobile client bases can be identified, the aspects such as Internet surfing time preferences, Internet surfing place preferences and browsed website preferences of the clients can be identified, and the social group classes of the clients can be accurately judged. Clustering and classifying can be rapidly carried out through the adopted parallel clustering algorithm and the adopted parallel classifying algorithm. By means of the parallel data mining method, different strategies can be f