Fraud Detection in Stock Market Using Collusion Clustering Algorithm

Abstract

Fraud is one of the major problems around the world today. Example: Stock market. In this paper, circular trading is detected using graphs. We detect the fraud using graph and machine learning. To resolve this problem, different fraud detection algorithm and approaches were used. In our proposed system, we are using an algorithm called collusion clustering, which is particularly designed for finding fraudulent sets. This algorithm will detect the fraud more efficiently convey the result.