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Research of Clustering Algorithm and Its Application in Mobile Customer Churn Management

Author: ZuoFei
Tutor: CuiGuangCai
School: Changchun University of Science and Technology
Course: Applied Computer Technology
Keywords: Data Mining Clustering algorithm Customers divided Loss of customers
CLC: TP311.13
Type: Master's thesis
Year: 2010
Downloads: 99
Quote: 2
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Abstract


As an important research areas of data mining , cluster analysis is an important data by means and methods . Clustering in many disciplines have played an important role , such as the financial sector , the field of marketing , the field of telecommunications , industrial production , biological and medical fields . Clustering algorithm is largely divided into division - based method , hierarchical method , density-based method , grid-based method , based on the method of the model and the fuzzy clustering . With mobile enterprises to continuously improve the sales profits at the same time , the number of customer turnover is also increasing , the average customer life cycles shorten seriously affect the development of mobile enterprise . Therefore , the mobile communications company urgent need for an effective method to determine about the loss of customers , then put forward the appropriate retention policies to reduce economic losses . Firstly a detailed study of the clustering algorithm , and propose a density-based clustering method , divide - based clustering method , jointly based on hierarchical clustering method used in mobile consumer behavior division ; then use poly class analysis technology for mobile customers loss study to determine which customers about the loss of customers and loss of customers , the performance of consumer characteristics and marketing advice , and finally about the loss of customers .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
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