Application Of Data Mining Technology In The Telecommunications Industry

Ministry of Industry and Information Technology of the People's Republic of China officially presented 4G services license to three major telecom operators in December 4,2013.Over the past two and a half,there was an amazing development of 4G network in China.The Chinese telecommunications market environment has changed fundamentally.The competition in communications industries and for customers has become increasingly fierce.In the competitive environment of customer-centric,identifying the customer's consumption characteristics,consumption patterns,and establishing the accurate marketing model of telecommunications customers' business from the complicated historical data have become one of the enterprises winning chips.In this paper,data mining techniques was used to analyze the telecommunications data.Firstly,the research background,research status and the basic theoretical knowledge of data mining were introduced briefly in the paper.And then,we started doing exploratory data analysis,and combined with telecom business requirements,the data mining technology was used in telecommunication fields of data analysis.We firstly choose new I-phone users' consuming behavior information data,and used Cluster analysis obtain the result of customer segments.Secondly,We could select high-value customers according to the Cluster analysis.What's more,the associated analysis model of new I-phone users' consuming behavior was established using Apriori association rules,then the associated services were recommended to the high-value customers.Lastly,the analysis model of telecom customer churn prediction was established by C5.0 decision tree method and Support Vector Machine.The model was used to predict customer churn,and then the appropriate retention measures were made to reduce the loss of telecom operators.This paper used three empirical studies show that data mining technology had a good development prospects in telecommunications industry.Data analysis is important to a company that can let them have a better understanding to customers.More in-depth,it can help companies carry out targeted marketing activities,reduce losses and increase profits.