References in periodicals archive ?
There is a lot of literature on the outlier detection methods with diagnosis of breast cancer, heart disease and credit card fraud detection problem which describes a variety of approaches like clustering, density based outlier detection, distance based outlier detection.
Amruta D has presented a review on outlier detection techniques for credit card fraud detection.
In this model a combined approach such as farthest first clustering, ODA and J48 classifier for diagnosis the breast cancer, Diagnosis of heart disease and credit card fraud detection is used.
eFalcon is an intelligent online credit card fraud detection and risk management service available to online merchants.
It refers to non-stationery data distribution, data imbalance and velocity of the data as major challenges persisting in credit card fraud detection data sets.
Credit card fraud detection with artificial immune system.