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Management And Research In Telecommunications Arrears Based On Decision Tree Of Data Mining

Posted on:2016-12-30Degree:MasterType:Thesis
Country:ChinaCandidate:H TaoFull Text:PDF
GTID:2298330467977333Subject:Computer technology
Abstract/Summary:PDF Full Text Request
China’s accession to WTO, the domestic public telecom companies in the international market environment is required in the operation of foreign advanced management mode To line telecom operators, telecom operation in order to meet international competition. The customer’s consumer psychology and values-oriented new business model for telecommunication companies and service system, and gradually reflect the "create demand ","consumer guide" of the modern concept of customer service and consciousness. Today’s telecommunications market is becoming saturated, the development of a new customer is much greater than the cost of retaining a successful off-grid customers about the cost. How to predict which customers in the near future may be lost from your business, to the greatest extent reduce customer churn it? Commonly used method is to use data mining techniques.This paper describes some of the concepts of data mining, application status and related theories, and then specify the value of data mining techniques and applications. On this basis, a bureau in Shanghai mobile data, focuses on how to use the decision tree-based data mining techniques to enhance the user arrears management issues. Attempts to data mining as a means of identification, tracking customers, analyze customer relationships, customer information extracted from knowledge to provide decision support enterprise arrears recovery, and fundamentally improve customer relationship management level, to achieve a comprehensive improve business capability and core competitiveness the purpose of capacity...
Keywords/Search Tags:Data Mining, Arrears, Telecom
PDF Full Text Request
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