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Published in:

Volume 7 Issue 7
July-2020
eISSN: 2349-5162

Unique Identifier

JETIR2007137

Page Number

1088-1094

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Title

A Survey on Transaction Fraud Detection Using Data Mining Techniques

ISSN

2349-5162

Cite This Article

"A Survey on Transaction Fraud Detection Using Data Mining Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 7, page no.1088-1094, July-2020, Available :http://www.jetir.org/papers/JETIR2007137.pdf

Abstract

Nowadays,credit card plays a vital part in economy. Credit cards turn out to be a necessary element of global, business and household activities. Even though the credit cards give vast advantages while utilized attentively and correctly, considerable credit and economic harms may be caused as a result of fraudulent actions. Data mining has commonly obtained recognition in managing credit-card fraud owing to its efficient, and machine learning schemes that can be executed to identify or predict fraud by Knowledge Discovery from abnormal models obtained from collected data. Credit Card Fraud Detection (CCFD) system is extremely important, for the purpose of identifying fraud correctly and prior to the occurrence of fraud. Various algorithms like k-means clustering, Genetic Algorithms, neural networks and Hidden Markov Model are used for detecting fraudulent usage of credit cards. The benefits and difficulties of CCFD schemes are detailed and evaluated in this paper. Besides, evaluation conditions in literature are gathered and described. Accordingly, open complications for CCFD are clarified and the future ways of the CCFD industry is provided.

Key Words

Credit Card, Fraud Classification, Fraud Detection Techniques, Data mining.

Cite This Article

"A Survey on Transaction Fraud Detection Using Data Mining Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp1088-1094, July-2020, Available at : http://www.jetir.org/papers/JETIR2007137.pdf

Publication Details

Published Paper ID: JETIR2007137
Registration ID: 235139
Published In: Volume 7 | Issue 7 | Year July-2020
DOI (Digital Object Identifier):
Page No: 1088-1094
ISSN Number: 2349-5162

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Cite This Article

"A Survey on Transaction Fraud Detection Using Data Mining Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp1088-1094, July-2020, Available at : http://www.jetir.org/papers/JETIR2007137.pdf




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