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A Novel Big Data Approach to Classify Bank Customers - Solution by Combining PIG, R and Hadoop
2016
International Journal of Information Technology and Computer Science
Large amount of data that is characterized by its volu me, velocity, veracity, value and variety is termed Big Data. Extracting hidden patterns, customer preferences, market trends, unknown correlations, or any other useful business information fro m large collection of structured or unstructured data set is called Big Data analysis. This article exp lores the scope of analyzin g bank transaction data to categorize customers wh ich could help the bank in efficient marketing, improved customer
doi:10.5815/ijitcs.2016.09.10
fatcat:tucdibuabvf5bbhspqna6jlizq