Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/9209
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dc.contributor.authorJuthani, Anushree-
dc.date.accessioned2020-07-23T05:26:56Z-
dc.date.available2020-07-23T05:26:56Z-
dc.date.issued2019-06-01-
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/9209-
dc.description.abstractThis report focuses on the system of fraud detection in retail management. The system helps service providers target on different categories of loss and frauds that can emerge in retails. It also helps in providing business analysis. The backbone of the system is POS which is the central point for detecting fraud transactions and anomalies.Reports are generated which use AI to detect whether the transactions are fraudulent or not. Also it consists of an auditing framework which records all logs of every activity done by the customer or service provider. The UI framework has been designed using the OJET (Oracle Java Extension Toolkit).REST services are used for data retrieval and processing at every node.Javascript ES6 is used to further optimize and enhance the code for better performance.en_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries17MCEI05;-
dc.subjectComputer 2017en_US
dc.subjectProject Report 2017en_US
dc.subjectComputer Project Reporten_US
dc.subjectProject Reporten_US
dc.subject17MCEIen_US
dc.subject17MCEI05en_US
dc.subjectINSen_US
dc.subjectINS 2017en_US
dc.subjectCE (INS)en_US
dc.titleFraud Detection System in Retail Managementen_US
dc.typeDissertationen_US
Appears in Collections:Dissertation, CE (INS)

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