Abstract
Ranking and Fraud Review Detection for Mobile Apps using KNN Algorithm
Highlights
In everywhere throughout the world for the mobile electronic gadgets are an exceptionally huge accumulation of a great many mobile Apps
The number of adaptable mobile Apps has created at a staggering rate throughout late years
As a late example, as opposed to relying upon ordinary publicizing, fraud App fashioners turn to some false means to deliberately help their Apps and over the long haul control the framework positions on an App store
Summary
As a late example, as opposed to relying upon ordinary publicizing, fraud App fashioners turn to some false means to deliberately help their Apps and over the long haul control the framework positions on an App store. This is commonly executed by using "bot ranches" or "human water armed forces" to explode the App downloads, appraisals and reviews in a brief while. Cautious perception demonstrates that the mobile Apps are not generally at top most position in pioneer board Be that as it may, just in some day and age called driving occasion which is shape distinctive driving sessions implies ranking fraud especially happen in this driving sessions. In proposed framework false apps are tell to clients and concentrate some viable confirmations of mobile apps
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