Research And Application Of Customer Identification Model Based On Data Mining

Customer identification is of great significance to the development of telecom enterprises.The development mode of telecom industry mainly takes the customer as the center,then carries on the business,and uses the data mining technology to carry on the research to the target customer's behavior,thus further selects the customer more accurately,finally combines the different customer characteristic to formulate the corresponding marketing plan.Based on the massive data of mobile user history data of China Mobile's A Province branch,this paper mainly works as follows:Firstly,this paper studies the imbalance of sample data classification in multiclassification problem,and improves the distribution of minority samples based on the data balancing method of comprehensive weight,so as to improve the performance of classifier model.Then,Combined with the data of user interaction circle,and the DOU value of the friend customer is identified by the Random Forest and the improved Random Forest.The experimental results show that the improved Random Forest model has better prediction effect and can provide a theoretical basis for operators to develop marketing products.Finally,through the existing marketing samples to analyze the counter characteristics of friends and merchants customers,using the decision tree algorithm in the CART algorithm and C5.0 algorithm to build the model,the model prediction results show that the C5.0 algorithm based on the friend of the customer counter model prediction is more accurate and comprehensive.The model is applied to marketing activities,and the success rate of outbound calls is over 54.7%,which has great practical value.The research on the DOU value model and the counter model of the customer users in this paper shows that the data mining technology plays an extremely important role in the development of the telecom industry,and the results can help operators understand the characteristics of the customers,thus further improving the quality of service,which is of great significance for increasing revenue and increasing the market share of enterprises.