Credit Card Fraud Detection Using Machine Learning
Keywords:
credit card fraud, credit card detection, machine learning, supervised learningAbstract
These days, credit card transactions and associated frauds are widespread occurrences. The most popular method of fraud is obtaining credit card information unlawfully and using it to make online purchases. It is extremely difficult for credit card companies and retailers to identify these fraudulent transactions amidst the many legitimate transactions. Device mastering methods could be used to solve this issue if sufficient data is acquired and made public. Popular supervised and unsupervised device learning techniques were used in this study to identify credit card fraud in a dataset that was incredibly unbalanced. Unsupervised machine learning algorithms were discovered to be capable of handling the skewness and give nice classification results.
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