Application Of Data Mining In Mobile Communication

With the fierce competition in the field of mobile communication,the telegraphic traders,in order to be in incincible position,have to offer high quality service to satisfy old customers and attract new customers.However,under the current circumstances,it is more and more difficult to develop new clients,so the traders pay more attention to pushing the added-value service with higher prices,aiming at more income and profit.Data mining,on the basis of the analysis of considerable data,reveals the know-how behind the data.It will help the traders sum up customers'consuming activities,recognize the features of the customers to use the added-value service and pick up the target customer,that will make the customer service and the marketing staff push the added service more effectively in order to get higher profit.The essay,throgh the decision tree in data mining,establishes the lift sales model to predict the possibility for the customer to use dazzling ring service.Beginning with summary of the data mining theory,including the basic conception,the process,the method and the relationship among data mining,data warehouse and OLAP,the essay introduces the idea of classification and discusses the method to categorize the decision tree,such as the generating algorithm and the way to prue and evalue the decision tree.The essay,based on the data collected from customers in a mobile communication trader,attaches importance to establishing dazzling ring service lift sales model by SAS statistice analysis program.Through the deep discussion and analysis of the data mining process,inclusive of data preparation,collection and variable choosing and so on,the essay established model approximately fulfiling the C4.5 and CART by parametric configuration and evaluates the result.At last,according to the evaluation result,by comparasion,C4.5 if proved to be the suitable analysis mode that obtains a good application effect from practical testing.