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Credit Card Fraud Detection, Charles Wang
Credit Card Fraud Detection, Charles Wang
Undergraduate Student Research Internships Conference
In recent years, credit card fraud poses a significant threat to banks and customers financially over the world. However, in the banking industry, to counter this issue, machine learning algorithms has become a growing trend to put proactive intervention of credit card fraud in place. In this project, we are going to detect fraudulent credit card transactions with machine learning models. This data set includes 284807 credit card transactions of European cardholders over a period of two days with their personal information kept anonymous. Among all transactions, 492 were fraudulent.
Ciculant Matrix And Fft, Thomas S. Devries
Ciculant Matrix And Fft, Thomas S. Devries
Undergraduate Student Research Internships Conference
The goal was to produce all the eigen values for a BOHEMIAN matrices using coefficient set {0, 1, -1, i, -i} of a size 15 vector. There are 5^15 eigen values so it was attempted to be done in parrallel for parts of the algorithm that permitted.