International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 06 Issue: 02 | Feb 2019
p-ISSN: 2395-0072
www.irjet.net
evidences for ranking fraud detection. Experimental results show the effectiveness of the projected system, the quantifiability of the detection rule furthermore as some regularity of ranking fraud activities. To the simplest of our data, they are not any existing benchmark to determine that leading sessions or Apps extremely contain ranking fraud.
4. CONCLUSION In this paper, a ranking fraud detection system for mobile Apps has been developed in this project. Specifically, it 1st showed that ranking fraud happened in leading sessions and provided a technique for mining leading sessions for every App from its historical ranking records. Then, it known ranking primarily based evidences, rating primarily based evidences and review based evidences for detective work ranking fraud. Moreover, it projected associate degree optimization primarily based aggregation method to integrate all the evidences for evaluating the believability of leading sessions from mobile Apps.
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