CREDIT CARD FRAUD DETECTION USING FREQUENT PATTERN MINING USING FP-MODIFIED TREE AND APRIORI GROWTH

This project is all about finding credit card fraud using machine learning. Credit card fraud is been increasing a lot nowadays, With the criminals using fake tricks and identities in order to steal money So, It is very important to find a way to stop these frauds. Our project majorly carries out at finding illegal activities. As criminals change their mind and methods often, it’s very hard to catch them easier. First, the system starts collecting the data on how these credit cards are used and trains a model using algorithm like Random Forest and Decision Tree. Then, it checks new data to see whether any fraud is happening. Thereby our project gives graphs to show the results and the Random forest model gives the best accuracy.