Z. Karimi Zandian

Data Mining Lab, Department of Computer Engineering, Alzahra University, Tehran, Iran

[ 1 ] - MEFUASN: A Helpful Method to Extract Features using Analyzing Social Network for Fraud Detection

Fraud detection is one of the ways to cope with damages associated with fraudulent activities that have become common due to the rapid development of the Internet and electronic business. There is a need to propose methods to detect fraud accurately and fast. To achieve to accuracy, fraud detection methods need to consider both kind of features, features based on user level and features based o...

نویسندگان همکار