Credit Card Fraud Detection Analysis
| ||International Journal of Computer Trends and Technology (IJCTT)|| |
|© - Sep to Oct Issue 2011 by IJCTT Journal|
|Volume-1 Issue-2 |
|Year of Publication : 2011|
|Authors : J. Keziya Rani,S.Prem Kumar,U.Ram Mohan, C.Uma Shankar.|
J. Keziya Rani,S.Prem Kumar,U.Ram Mohan, C.Uma Shankar. "Credit Card Fraud Detection Analysis"International Journal of Computer Trends and Technology (IJCTT),V2(2):268-271 - Sep to Oct Issue 2011 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract: Computer security and certain aspects of cyber crime is beeing increasing day by day. The detailed study of the present day most commonly encountered cyber crime like Credit card fraud analysis is presented in this paper . The model reported in this paper is based on Hidden Markov Model(HMM), is a markov chain for which the state is only partially observable. In HMM model , We quantize the purchase values x into M price ranges V1; V2; . . . VM, forming the observation symbols at the issuing bank. The actual price range for each symbol is configurable based on the spending habit of individual cardholders. These price ranges can be determined dynamically by applying a clustering algorithm on the values of each cardholder’s transactions, In this work, we consider only three price ranges, namely, low (l), medium (m), and high(h). Our set of observation symbols is, therefore, V ¼ fl; m; hg making M ¼ 3. Keywords: Computer Security, Cyber Crime, Credit Card, HMM model.
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KeywordsCAI strategy, Measuring Performance.