In the faceless world of the Internet,online fraud is one of the greatest
reasons of loss for web merchants.Advanced solutions are needed to protect e
businesses from the constant problems of fraud.Many popular fraud detection
algorithms require supervised training,which needs human intervention to
prepare training cases.Since it is quite often for an online transaction
database to ha e Terabyte level storage,human investigation to identify
fraudulent transactions is very costly.This paper describes the automatic
design of user profiling method for the purpose of fraud detection.We use a FP