1 Credit Card Fraud Detection Using Machine Learning TechniquesIEEE · 2019年 2 A Comparative Study of Machine Learning Algorithms for Credit Card Fraud DetectionElsevier · 2020年 3 Deep Learning for Credit Card Fraud Detection: A Comprehensive ReviewMDPI · 2021年 4 Anomaly Detection Techniques for...
Methods: We identified research studies on health insurance fraud detection using machine learning approaches from databases such as Google Scholar, Springer-Link journals, Elsevier, PubMed, Excerpta Medica Database (EMBASE), Scopus, the Association for Computing Machinery (ACM) Digital Library, and ...
The research presented uses a rigorous and well-structured methodology to expand current knowledge on financial fraud detection using machine learning (ML) techniques. Through the use of a systematic literature review that follows adaptations of PRISMA guidelines and Kitchenham’s methodology, the study ...
Figure 1. Banner image from theIEEE CIS Fraud Detection Challenge. In this challenge, IEEE partnered with the world’s leading payment service company,Vesta Corporation, in seeking the best solutions for fraud prevention. Successful ML models improve the efficacy of fraudulent transaction aler...
//www.kaggle.com/c/ieee-fraud-detection/data" target="_blank" rel="noopener">IEEE-CIS fraud dataset, the same dataset that was used in the previous post. The dataset contains over 590,000 transaction records that have a binary fraud label (the isFraud column). The data is split into...
selection and exclusion of duplicates: Scopus (28), Taylor & Francis (17), SAGE (14), ScienceDirect (27), and IEEE Xplore (18). This methodological strategy ensured the relevance of the articles that carried out a complete analysis in the field of financial fraud detection using ML models....
An unsupervised learning technique, One-Class Support Vector Machine (OCSVM) is used for outlier detection and constituting an incremental learning process. Its application in Anomaly Detection is widely used around the world such as Outlier Detection, Novelty Detection, and many others. OCSVM is modi...
Final Machine Learning Project for CS4262. Contribute to cs4262-fraud-detection/ieee-fraud-detection development by creating an account on GitHub.
Purohit, Comparative analysis of machine learning algorithms through credit card fraud detection, in Proc. IEEE MIT Undergraduate Research Technology Conf., Cambridge, MA, USA, 2018, pp. 1–4. Crossref [16] N. Carneiro, G. Figueira, and M. Costa, A data mining based system for credit...
IEEEXplore IEEEXplore (全网免费下载) 相似文献Deep Learning vs. traditional Machine Learning algorithms used in Credit Card Fraud Detection With the continuing growth of E-commerce, credit card fraud has evolved exponentially, where people are using more on-line services to conduct their daily transact...