Since the penetration rate of mobile phone rises quickly and China mobile telecomm market is almost becoming saturated increasingly, China mobile telecom operators are facing with a slow new subscribers’ growth and a decline trend in the average revenue per user (ARPU). China mobile operators are developing strategies to supplement the tapering revenues by promoting mobile value-add service (VAS) and wireless data service in 4G network system. In this paper apriori algorithm and decision tree data mining technique are applied to recommend the market strategy to promote mobile customers’ data traffic in data plan and overlap data plan. To ensure the accuracy of the research, we adopt apriori algorithm and decision tree to analyze data of over One hundred and twenty thousand members, over ten provinces. The results show to be very valuable for making strategy recommendations to promote the customers’ data traffic in data plan and overlap data plan.


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    Title :

    Applying Apriori Algorithm and Decision Tree to Promote Data Traffic of Mobile Customers


    Contributors:
    Luan, Linlin (author) / Shu, Huaying (author)


    Publication date :

    2019-10-01


    Size :

    114420 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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