credit card fraud detectionfinancial marketmachine learningIn this work, we describe a tutorial to solve the fraud problem under a supervised learning context in machine learning, and this tutorial consists of a set of methodologies that allow the construction of a model for recognizing fraudulent ...
Kaggle: Credit Card Fraud Detection. https://www.kaggle.com/mlg-ulb/creditcardfraud Hancock JT, Khoshgoftaar TM. Catboost for big data: an interdisciplinary review. J Big data. 2020;7(1):1–45. Article Google Scholar Zuech R, Hancock J, Khoshgoftaar TM. Detecting web attacks using ...
A machine learning based credit card fraud detection using the GA algorithm for feature selection. J Big Data. 2022;9:24. https://doi.org/10.1186/s40537-022-00573-8. Article Google Scholar Siddiqi N. Credit risk scorecards: developing and implementing intelligent credit scoring. Hoboken: ...
Comparing Performance of Ensembles in Credit Card Fraud Detection Problem to be solved: to provide a business credit risk comparison system for displaying data comparing the credit risk of the stock calculated from the st... S Jha,Y Jha,MP Josh,... 被引量: 0发表: 2018年 ...
In this research article, we have conducted a comparative analysis of the literature review considering the ML techniques for credit card fraud detection (CCFD) and data confidentiality. In the end, we have proposed a hybrid solution, using the neural network (ANN) in a federated learning ...
However, all of these techniques have the same goal of avoiding the credit card fraud; each one has its own drawbacks, advantages and characteristics. In this paper, after investigating difficulties of credit card fraud detection, we seek to review the state of the art in credit card fraud ...
Precisely, this paper focused on recent Machine Learning based and Nature Inspired based credit card fraud detection techniques proposed in literature. This paper provides a picture of recent trend in credit card fraud detection. Moreover, this review outlines some limitations and contributions of ...
Figure 1. Proposed credit card fraud detection model. The remainder of this paper is structured as follows: Previous studies concerning the application of KNN, LDA, and credit card fraud detection are outlined in Section 2. Section 3 is divided into two parts: Section 3.1 details the character...
Online shopping, already on a steady rise, was propelled even further with the advent of the COVID-19 pandemic. Of course, credit cards are a dominant way of doing business online. The credit card fraud detection problem has become relevant more than eve
Review of machine learning approach on credit card fraud detection. Hum.-Centric Intell. Syst. 2022, 2, 55–68. [Google Scholar] [CrossRef] Bao, Y.; Hilary, G.; Ke, B. Artificial intelligence and fraud detection. In Innovative Technology at the Interface of Finance and Operations; ...