Masoumeh Zareapoor, Jie Yang
Intelligent Automation & Soft Computing, Vol.24, No.4, pp. 721-727, 2018, DOI:10.1080/10798587.2017.1321228
Abstract The design of an efficient credit card fraud detection technique is, however, particularly challenging,
due to the most striking characteristics which are; imbalancedness and non-stationary environment
of the data. These issues in credit card datasets limit the machine learning algorithm to show a
good performance in detecting the frauds. The research in the area of credit card fraud detection
focused on detection the fraudulent transaction by analysis of normality and abnormality concepts.
Balancing strategy which is designed in this paper can facilitate classification and retrieval problems
in this domain. In this paper, we consider the classification problem in supervised learning… More >
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