I am working on a school project, I am developing a credit-card fraud detection system. Right now I am in exploratory phase.
I know that I have to use classification model to detect outliers, but am confused about what technique to use..
I read about SVM, Neural networks, and few other techniques which are widely used for fraud detection. But I am confused about how to select the one which will be best suite my problem.
Can you point in the right direction as where to go forward... I am kind of stuck.