A Study on Machine Learning Approach using Ensemble Learners for Click Fraud Detection in Online Advertisement

Abstract

The deliberate clicking on advertisements with no real interest on the product or service offered, is one of the most daunting problems in online advertising. Building an effective fraud detection method is thus pivotal for online advertising businesses. This will save the online-advertisement industry from heavy economic losses due to irrelevant payment made to the fraudulent publishers.