Department of CSE, B. I. S. T. (Bharath University), Chennai, Tamil Nadu, India
*** DrNaliniChidambaram@gmail.com
Online published on 11 April, 2017.
The data mining process to identify churners has concern with size of the dataset. This paper analyzes the telecom customer complaints and call quality datasets using Mapreduce to predict the customer churn. HDFS and Mapreduce make it possible to mine larger data sets without the constraints of the data size.
Hadoop MapReduce, Telecommunication, Churn Analysis, Data mining
