With the decline in the development of broadband technology and broadbandtariffs, and vigorously promote the telecom package, the broadband market shift fromthe incremental development model for the stock of development model, in the caseof stock patterns, reduce churn, extend broadband customers product life cycle, toprevent his net instigation to become the stock of the development
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KDD (Knowledge Discovery in Database) is the technique that can discover the potential patterns from large scale of data. In the field of information technique industry and manage-ment, enterprises now are eager to convert the data and information to useful and applicable knowledge. As the most important tool of knowledge discovery, machine learning has been
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With the fiercer competition in telecom industry,the customer churn rate is increasing.So,to predict churn precisely becomes a key factor of the existence and development of telecom corporations.There are two common problems in telecom data set.The one is the distribution unbalance between churn set and non-churn set,the other one is the numerous missing values. To solve
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With the rampant competition in the domestic and international wireless telecommunications industry, the customer churning has become one of matters of concern to the enterprise. Faced with the increasingly serious situation in customer churning , telecom enterprises need data mining technology to analyze the churning in order to take measures to maintain valuable customers, and
(Read More…)
Data mining technology makes use of existed data to find out the underling business rule by establishing mathematical model. The prediction of customer churn in telecommunication industry is very important. The prediction of customer churn is to analyze the churned customer’s historical data .So that the reasons why they left might be found out. It
(Read More…)
Data mining technology makes use of existed data to find out the underling business rule by establishing mathematical model. The prediction of customer churn in telecommunication industry is very important. The prediction of customer churn is to analyze the churned customer’s historical data .So that the reasons why they left might be found out. It
(Read More…)
With the rampant competition in the domestic and international wireless telecommunications industry, the customer churning has become one of matters of concern to the enterprise. Faced with the increasingly serious situation in customer churning , telecom enterprises need data mining technology to analyze the churning in order to take measures to maintain valuable customers, and
(Read More…)
Data mining technology makes use of existed data to find out the underling business rule by establishing mathematical model. The prediction of customer churn in telecommunication industry is very important. The prediction of customer churn is to analyze the churned customer’s historical data .So that the reasons why they left might be found out. It
(Read More…)
With the rampant competition in the domestic and international wireless telecommunications industry, the customer churning has become one of matters of concern to the enterprise. Faced with the increasingly serious situation in customer churning , telecom enterprises need data mining technology to analyze the churning in order to take measures to maintain valuable customers, and
(Read More…)
Data mining technology makes use of existed data to find out the underling business rule by establishing mathematical model. The prediction of customer churn in telecommunication industry is very important. The prediction of customer churn is to analyze the churned customer’s historical data .So that the reasons why they left might be found out. It
(Read More…)
