期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2016
卷号：33
期号：2
页码：60-64
DOI：10.14445/22312803/IJCTT-V33P113
出版社：Seventh Sense Research Group
摘要：In current market scenarios, telecom companies are quite competitive and look forward to have lion’s share in the market by winning new and withholding existing customers. Customers who are lost to competitor are known as Churned customers and can be retain by adopting Churn prevention model. For a given dataset, this model predicts the list of customers to be churned in future enabling the respective authorities to take action accordingly. However in telecom, the results of algorithms suffer due to disproportion nature and vast size of datasets. In this paper, Genetic Programming (GP) based approach for modelling the challenging problem of churn prediction is incorporated in HBASE. A data mining algorithm, Data Mining Evolutionary Learnings (DMEL), handles a classification problem which helps to meet accuracy of prediction. As data in telecom industry is going to increase so to make the classification process fast DMEL algorithm is incorporated in HBase. For competitive telecom industry, churn prediction approach would be significantly beneficial.
关键词：telecom industry; churn prediction; genetic algorithms; DMEL; H Base.
