DocumentCode
707219
Title
Credit Card Fraud Detection: A case study
Author
Agrawal, Ayushi ; Kumar, Shiv ; Mishra, Amit Kumar
Author_Institution
Dept. of Inf. Technol., Technocrats Inst. of Technol., Bhopal, India
fYear
2015
fDate
11-13 March 2015
Firstpage
5
Lastpage
7
Abstract
In this research, a technique for `Credit Card Fraud Detection´ is developed. As fraudsters are increasing day by day. And fallacious transactions are done by the credit card and there are various types of fraud. So to solve this problem combination of technique is used like Genetic Algorithm, Behavior Based Technique and Hidden Markov Model. By this transaction is tested individually and whatever suits the best is further proceeded. And the foremost goal is to detect fraud by filtering the above techniques to get better result.
Keywords
credit transactions; fraud; genetic algorithms; hidden Markov models; security of data; behavior based technique; credit card fraud detection; fallacious transactions; genetic algorithm; hidden Markov model; Banking; Clustering algorithms; Credit cards; Data mining; Genetic algorithms; Hidden Markov models; Information technology; Credit-card; Fallacious Transaction; Online Shopping;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location
New Delhi
Print_ISBN
978-9-3805-4415-1
Type
conf
Filename
7100189
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