This document summarizes a research paper that proposes a credit card fraud detection system using machine learning algorithms like Naive Bayes and Random Forest. It begins with an abstract describing the use of these classification algorithms on credit card transaction data to model past transactions and identify fraudulent ones. Then, it provides background on the increasing problem of credit card fraud and motivates the need for this research. It describes the Naive Bayes and Random Forest algorithms and evaluates their performance on this fraud detection task. Finally, it reviews related work applying machine learning to credit card fraud detection and discusses the results.