DETECTION AND PREVENTION OF FRAUDULENT IN USING CREDIT CARD

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DC Field	Value	Language
dc.contributor.author	J, Maria Shyla	-
dc.date.accessioned	2020-12-28T05:42:38Z	-
dc.date.available	2020-12-28T05:42:38Z	-
dc.date.issued	2014-01-09	-
dc.identifier.isbn	9780989425445	-
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/2400	-
dc.description.abstract	Credit card transactions happen at every moment all over the world. People do their financial transactions using credit card either in online or offline. In the mean time frauds associated with it are also rising. Fraud detection involves monitoring the behavior of users in order to estimate, detect or avoid unwanted behavior .In this paper, it is shown that credit card fraud that can be detected effectively using Hidden Markov Model (HMM). HMM could be trained with Hybrid Baum-Welch and Viterbi algorithms for better efficiency in detection.	en_US
dc.language.iso	en	en_US
dc.publisher	Coimbatore Institute of Information Technology./ PSGR Krishnammal College for Women, Coimbatore	en_US
dc.subject	HMM	en_US
dc.subject	Fraudulent	en_US
dc.subject	Baum-Welch	en_US
dc.subject	Viterbi	en_US
dc.title	DETECTION AND PREVENTION OF FRAUDULENT IN USING CREDIT CARD	en_US
dc.title.alternative	National Conference on Cyber Security	en_US
dc.type	Book	en_US
Appears in Collections:	National Conference

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