There is a loss of billions of dollars worldwide each year because of frauds happening in financial sectors. There is a problem with internal auditing system of financial sectors because of which there is a need for fraud detection. This paper gives the details about fraud detection in financial sectors using machine learning and data mining techniques. Bayesian and K-means algorithms are used for fraud detection here.
