CREDIT CARD FRAUD DETECTION

Computer Engineering

In recent days the use of credit card for all types of transactions has been increased drastically all over the globe which indicates the increase in fraudulent transaction. A large number of fraudulent transactions are made each and every second across the global where transactions can be determined using various modern techniques like data mining, machine learning and few others which have been used recently. This paper uses various genetic algorithms for finding accurate solutions for the modern day problems like detecting the unusual transactions. As the number of online transactions are increasing day by day the responsibilities of the banks to increase the security to these transactions. Our proposed system focuses on series of machine learning models where we select the best method among these available algorithms.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.