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Database Implementation and Testing of Dynamic Credit Card Fraud Detection System

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Anita Jog, Anjali Chandavale

Anita Jog and Anjali Chandavale. Database Implementation and Testing of Dynamic Credit Card Fraud Detection System. International Journal of Computer Applications 168(11):42-47, June 2017. BibTeX

	author = {Anita Jog and Anjali Chandavale},
	title = {Database Implementation and Testing of Dynamic Credit Card Fraud Detection System},
	journal = {International Journal of Computer Applications},
	issue_date = {June 2017},
	volume = {168},
	number = {11},
	month = {Jun},
	year = {2017},
	issn = {0975-8887},
	pages = {42-47},
	numpages = {6},
	url = {},
	doi = {10.5120/ijca2017914557},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Credit card frauds are increasing with the increase in use of plastic money. These frauds include the transactions done either by stealing the physical card or using card data such as card number, expiry date and pin number. There is a need to recognize customer spending pattern and apply validations for incoming transaction. Suspicious transactions can go under rigorous security checks. This paper describes the database implementation of credit card fraud detection system which is adaptive to concept drift environment. The system is designed using PL-SQL stored procedures and JAVA. The validation procedure and testing results are included in this paper.


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Concept drift, self learning, credit card fraud detection.