부산대학교 도서관

Fraud means the representation of false information which is not true. In this world right now, there are many types of frauds are going on and we have to work on the detecting machine or algorithms so that we can find out the fraud this all process is about fraud detection. Machine Learning consists of many algorithms that can be used in fraud detection such as Random Forest, Local Outlier Fraction, Isolation Forest, Naïve Bayes, K-nearest Neighbor, Hidden Markov Model, Neural Networks, etc. that can be used in fraud detection. In this paper we have done comparative study of Random Forest algorithm and Local Outlier Factor.