Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/1533
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dc.contributor.authorHashni T-
dc.contributor.authorHarini S-
dc.contributor.authorJanani Shree G-
dc.contributor.authorDivya K-
dc.date.accessioned2020-09-16T05:17:20Z-
dc.date.available2020-09-16T05:17:20Z-
dc.date.issued2020-02-12-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/1533-
dc.description.abstractFraud is an increasing crime in day-to-day modern world. Fraud possibilities co-evolve withtechnology especially with InformationTechnology. Fraud detection is amethod/technique of identifying illegal actswhich are offensive, that are occurring all aroundthe world. It defines a skilled impostorformulizes the key forms and sub forms ofrecognized frauds and reveals the gathered datanature. To detect the fraud patterns from datacollected/stored, the paper explains somepreferred data mining techniques. Data mining ismost commonly used for fraud detection andprevention among various tools available. Thispaper gives an idea in a well-defined way by which any number of frauds can be detected and analyzed. This paper also describes clearly aboutdifferent types of fraud detection techniques.Theme of this paper is to firstly identify the typeof fraud using data mining techniques and toresolve the criminal aspect in simplified way.en_US
dc.language.isoenen_US
dc.publisherSri Krishna Arts and Science Collegeen_US
dc.subjectData miningen_US
dc.subjectFraud Detectionen_US
dc.subjectData Mining Techniquesen_US
dc.titleDATA MINING IN FRAUD DETECTIONen_US
dc.title.alternative10th National Conference on “Machine Learning and Smart Technologyen_US
dc.typeBooken_US
Appears in Collections:National Conference

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