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September-2018
eISSN: 2349-5162
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Journal of Emerging Technologies and Innovative Research ( An International Scholarly Open Access Journal, Peer-reviewed, Refereed Journal )
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UGC Approved Journal no 63975(19)
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UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975
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Published Paper ID:
JETIR1809335
Registration ID:
188134
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Title
Online Credit Card Fraud Detection: Using BIG DATA Technologies
Authors
Abstract
Now days everyone uses credit cards for shopping. Credit cards are easy to carry and use. But there are some fraudulent activities in the use of online credit cards. The BIG DATA technologies can be used to detect the online credit card fraud. The term BIG DATA refers to the large amount of data which can be either structured or unstructured or both, which is difficult to store and process using traditional database and software technologies. Mainly credit card companies recognise fraudulent activities by analysing the patterns and shopping behaviour of client. This paper is intended to study with online credit fraud detection using BIG DATA technologies.
Key Words
apache hadoop, map reduce,apache spark,apache flink
Cite This Article
"Online Credit Card Fraud Detection: Using BIG DATA Technologies", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.197-198, September-2018, Available :http://www.jetir.org/papers/JETIR1809335.pdf
ISSN
2349-5162 | Impact Factor 7.95 Calculate by Google Scholar
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Cite This Article
"Online Credit Card Fraud Detection: Using BIG DATA Technologies", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp197-198, September-2018, Available at : http://www.jetir.org/papers/JETIR1809335.pdf
Publication Details
Published Paper ID: JETIR1809335
Registration ID: 188134
Published In: Volume 5 | Issue 9 | Year September-2018
Page No: 197-198
Country: Thrissur, kerala, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR1809335
Published Paper PDF: https://www.jetir.org/papers/JETIR1809335
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