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http://10.1.7.192:80/jspui/handle/123456789/9209
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DC Field | Value | Language |
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dc.contributor.author | Juthani, Anushree | - |
dc.date.accessioned | 2020-07-23T05:26:56Z | - |
dc.date.available | 2020-07-23T05:26:56Z | - |
dc.date.issued | 2019-06-01 | - |
dc.identifier.uri | http://10.1.7.192:80/jspui/handle/123456789/9209 | - |
dc.description.abstract | This 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.publisher | Institute of Technology | en_US |
dc.relation.ispartofseries | 17MCEI05; | - |
dc.subject | Computer 2017 | en_US |
dc.subject | Project Report 2017 | en_US |
dc.subject | Computer Project Report | en_US |
dc.subject | Project Report | en_US |
dc.subject | 17MCEI | en_US |
dc.subject | 17MCEI05 | en_US |
dc.subject | INS | en_US |
dc.subject | INS 2017 | en_US |
dc.subject | CE (INS) | en_US |
dc.title | Fraud Detection System in Retail Management | en_US |
dc.type | Dissertation | en_US |
Appears in Collections: | Dissertation, CE (INS) |
Files in This Item:
File | Description | Size | Format | |
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17MCEI05.pdf | 17MCEI05 | 1.81 MB | Adobe PDF | ![]() View/Open |
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