MINING FRAUD DETECTION IN MOBILE APPS BY ANALYZING USER RATINGS AND RANKING.

  • Department of CSE, PPG Institute of Technology, Coimbatore,Tamilnadu.
  • Department of CSE, PPG Institute of Technology, Coimbatore, Tamilnadu.
  • Abstract
  • Keywords
  • Cite This Article as
  • Corresponding Author

Discovering fraudulent mobile apps in mobile app market method we are going to identify the fraudulent mobile apps by collecting three type of evidence and eliminating the fraud apps. Using this method app user can save their data and time because we are eliminating the mobile apps in our market by collecting rating based evidence, review based evidence and ranking based evidence from user who already download and used. After identifying the fraudulent apps.we are going to eliminate the fraudulent apps. The data aggregation is based on Leading event and Leading session.

[C.Karthik and S. Ramya. (2016); MINING FRAUD DETECTION IN MOBILE APPS BY ANALYZING USER RATINGS AND RANKING. Int. J. of Adv. Res. 4 (Mar). 1630-1633] (ISSN 2320-5407). www.journalijar.com

Ramya.S , C.Karthik

Download Full Paper

Download PDF No. of Downloads: 9 | No. of Views: 78