PROPOSED SYSTEM FOR DETECTION OF FRAUD APPLICATION USING REVIEW ANALYSIS
- Final Year Students, Department of Computer Engineering, Bapurao Deshmukh College of Engineering, Sevagram, Wardha.
- Assistant Professor, Department of Computer Engineering, Bapurao Deshmukh College of Engineering, Sevagram, Wardha.
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In today’s era, thanks to rapid development within the mobile technology and mobile devices, the applications i.e., mobile apps are being very exciting and popular concept. As there's large number of mobile Apps, ranking fraud is that the challenge considers front of the mobile App market. Ranking fraud is that the term used for concerning fraudulent or suspicious activities having the intention using tricky means frequently for increasing their Apps sales. The foremost aim is to develop such system that find ranking, rating and review behaviors for investigating review based evidences, rating based evidences and ranking based evidences so aggregation supported optimization to mix all the evidences for detection of fraud.
[Divya Bhoyar, Mayur Bajait, Samiksha Mule and Prof. A.R. Welekar (2022); PROPOSED SYSTEM FOR DETECTION OF FRAUD APPLICATION USING REVIEW ANALYSIS Int. J. of Adv. Res. 10 (May). 67-72] (ISSN 2320-5407). www.journalijar.com
Final Year Students, Department of Computer Engineering, Bapurao Deshmukh College of Engineering, Sevagram, Wardha.
