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INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013

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Paper Title
survey on credit card fraud detection using data mining techniques
Authors
  Anusha S,  Deepika N

Abstract
Credit card fraud detection is a wide-ranging term for theft and fraud committed using or involving a payment card, such as a credit card or debit card, as a fraudulent source of funds in a transaction. Due to fast growth of E-Commerce, use of credit card for online purchases has dramatically increased and it caused and increase in the credit card fraud. As credit card has become the most popular mode of payment for online and regular purchase, frauds associated with it are rising. In real life, fraudulent transactions are scattered with real transactions and simple pattern matching techniques are not often sufficient to detect those frauds accurately. Many techniques based on data mining, Random Forest, Machine Learning has involved in detecting various credit card fraudulent transactions. Credit card fraud detection is a wide-ranging term for theft and fraud committed using or involving a payment card, such as a credit card or debit card, as a fraudulent source of funds in a transaction. Due to fast growth of E-Commerce, use of credit card for online purchases has dramatically increased and it caused and increase in the credit card fraud. As credit card has become the most popular mode of payment for online and regular purchase, frauds associated with it are rising. In real life, fraudulent transactions are scattered with real transactions and simple pattern matching techniques are not often sufficient to detect those frauds accurately. Many techniques based on data mining, Random Forest, Machine Learning has involved in detecting various credit card fraudulent transactions.

Keywords- Fraud Detection, Machine Learning, Random Forest, Spark, Semi-Supervised Learning Techniques
Publication Details
Unique Identification Number - IJEDR1804104
Page Number(s) - 590-592
Pubished in - Volume 6 | Issue 4 | December 2018
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Anusha S,  Deepika N,   "survey on credit card fraud detection using data mining techniques", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 4, pp.590-592, December 2018, Available at :http://www.ijedr.org/papers/IJEDR1804104.pdf
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