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Credit Card Fraud Detection: An Improved Strategy for High Recall Using KNN, LDA, and Linear Regression
- Source :
- Sensors, Vol 23, Iss 18, p 7788 (2023)
- Publication Year :
- 2023
- Publisher :
- MDPI AG, 2023.
-
Abstract
- Efficiently and accurately identifying fraudulent credit card transactions has emerged as a significant global concern along with the growth of electronic commerce and the proliferation of Internet of Things (IoT) devices. In this regard, this paper proposes an improved algorithm for highly sensitive credit card fraud detection. Our approach leverages three machine learning models: K-nearest neighbor, linear discriminant analysis, and linear regression. Subsequently, we apply additional conditional statements, such as “IF” and “THEN”, and operators, such as “>“ and “
Details
- Language :
- English
- ISSN :
- 14248220
- Volume :
- 23
- Issue :
- 18
- Database :
- Directory of Open Access Journals
- Journal :
- Sensors
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.85a9e2f06d604eadbc788f4407c65eed
- Document Type :
- article
- Full Text :
- https://doi.org/10.3390/s23187788