Financial Fraud Detection in Plastic Payment Cards using Isolation Forest Algorithm

The need for technology has always found space in Financial Transaction as the number of fraud financial transactions increases day by day. In this research we have proposed a new methodology using isolation forest algorithm and local outlier detection to detect fraud. A standard data set is used experimentation classify transaction occurred fraudulent or not. We neural networks machine learning classification. focused on deployment anomaly algorithms that Local Outlier Factor Isolation Forest (IFA) data.