Inference of Telecom Customers'Behavior Based on Rough Entropy
Wang Rui
Wang Bin
Abstract：In telecommunications churn management , it is important and challenging to predict customers'churn by using telecommunication customer behavior data .With behavioral attributes and state property of telecom customers being delineated , telecom customers'behavior characteristics are analyzed .Then, based on rough entropy , an algorithm is presented to analyze the telecom customers'behavior .Meanwhile , an empirical analysis based on the behavioral data of a Hubei telecom enterprise is carried out .At last, asso-ciation rules between the behavioral attributes and state property of telecom customers are given .It shows that, by the proposed algorithm , telecommunication customers'behavior data can be effectively utilized to predict the customers'status.
Keywords：rough setentropycustomer behavior
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 38-42,63 )