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Authors
Affiliations
1 Department of CSE, B. I. S. T. (Bharath University), Chennai, TN, IN
Source
International Journal of Scientific Engineering and Technology, Vol 3, No 5 (2014), Pagination: 597-600
Abstract
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.
Keywords
Hadoop MapReduce, Telecommunication, Churn Analysis, Data Mining.
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