Fraud Detection for Online Retail Using Random Forest

The evolution of e-commerce has widely risked the electronic transaction over the past few years. This has significantly raised the issue of fake events worldwide with millions of buck deficits. This work aims to give a solution to frauds done through credit cards. Using datamining and machine learning techniques we provide a highly secured transaction to Web payment gateways (e.g. UPI).
General Terms--- Data Mining, Decision Tree, Random Forest, Bagging, Filtering Techniques.
Keywords--- Electronic Commerce, Credit Card Fraud, Fraud Detection, Online Banking Electronic.