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Volume & Issue no: Volume 6, Issue 4, July - August 2017

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Title:
Spark Streaming-Real time stream processing in credit card fraud detection
Author Name:
M. Likhitha, Y. Rama Mohan
Abstract:
Abstract In the era of globalization, electronic payments and online transactions have increased, apparently resulting in the increasing use of credit cards. At this juncture the number of fraud events happening in the name of financial services caused a great loss to financial industries. Detecting such fraud events has become imperative for the industries. With the existing conventional techniques, it’s not possible to provide a better performance in the mode of ever increasing data called Big Data. Big data offers live stream processing frameworks and APIs that are widely being used in many real time applications in the existing environment of distributed datacenters. The proposed system works on processing the real-time data using Spark Streaming. The objective is to build features to process the real time data with Spark Streaming to reduce the workload on the node(s), achieve low latency to provide a better execution plan for a scalable and fault-tolerant processing of data. Keywords: Real time data, Spark Streaming, Stream processing, credit card fraud, big data.
Cite this article:
M. Likhitha, Y. Rama Mohan , " Spark Streaming-Real time stream processing in credit card fraud detection" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 6, Issue 4, July - August 2017 , pp. 157-161 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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