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Telecom Customer churn prediction is a cost sensitive classification problem. Most of studies regard it as a general classification problem use traditional methods, that the two types of misclassification cost are equal. And, in aspect of cost sensitive classification, there are some researches focused on static cost sensitive situation. In fact, customer value of each customer is different, so misclassification...
Based on the two methods of measuring and managing the customer value(George Evans, 2002) the paper selects 13343 user's transaction data in a region of a Chinese operators in October 2010 as research samples, measures customer perceptive value by the customer value rate in use, provides powerful support tools for researching and designing mobile product; Using the cumulative frequency distribution...
With the market competition becoming more and more fiercely, retaining current customers has become the focus of telecommunication operators. Telecom companies can take full advantage of the available marketing data, using data mining techniques to gain insight of customers, and then design pertinently telecom products for customers to improve customer value and satisfaction. That will increase customer...
The thesis briefly introduced data mining and clustering theories. Also through K-Means, ADSL voice multiplex customers are clustered, which caused over 240,000 customers divided into 8 clusters. Further analysis showed that the 8 clusters had distinct differences in basic characters and surfing the net. However, these differences could help X telecom Co. to design pointed sales strategies respectively,...
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