Application Of Data Mining Technology In The Operation Of Mobile Flow

With the development of mobile Internet industry,the competition between telecommunication operators is increasing,the flow of income has become telecommunication operators income of a new growth point,how to mine potential target customers,and how to carry out accurate marketing,It is essential to improve flow and user value.The main work of this paper has made a classified mining and decision for flow growth customer,value promotion customer,value promotion marginal customer.The consumption situation of flow growth customer is analyzed and mined from three aspects of single month super flow cost distribution,single month flow more than three months average flow distribution and different package super flow rate distribution.We have compared and analyzed value promotion customers,the use of WeChat and the mobile business hall,the usage of the excess package cost and the average traffic usage,in order to dig out the potential value promotion customers.We have mainly analyzed value marginal customers of the traffic consumption situation,and combining with family broadband,WeChat and 4G mobile phones.The cost of the packages and the average traffic usage were extracted and mined.The results of data mining by the above algorithm are used for the precise marketing of the telecom operators in a certain area,Good results have been achieved in the success rate of marketing,the usage of customer flow and the promotion of value.