|
Abstract
|
Article Information:
The Application of Data Mining in Telecommunication Churn Customer
Hai-fei Qin
Corresponding Author: Hai-fei Qin
Submitted: December 13, 2011
Accepted: January 21, 2012
Published: June 01, 2012 |
Abstract:
|
This study analyzes telecom owe churn customers. Firstly, use the technology of OLAP to analyze
the whole theme of the loss of arrears. Then, adopting cluster analysis analyzed consumer behavior (traffic,
consumption amount, owed amount) before churn of the churn customer, age and in the net time and explaining
the cluster. Finally, using the decision tree analyze the discrete variable and draws the conclusion.
Key words: Cluster analysis, customer churn, data ming, decision tree, OLAP, ,
|
|
Abstract
|
PDF
|
HTML |
|
Cite this Reference:
Hai-fei Qin, . The Application of Data Mining in Telecommunication Churn Customer. Research Journal of Applied Sciences, Engineering and Technology, (11): 1504-1507.
|
|
|
|
 |
ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
 |
| Information |
|
|
|
|
| Sales & Services |
|
|
|
|
