Sánchez-Paniagua, M., Fidalgo, E., Alegre, E., & Jáñez-Martino, F. (2025). Fraud detection in e-commerce: a comparative analysis of features to enhance machine learning models. Electronic Commerce Research, 1-36. https://doi.org/10.1007/s10660-025-10029-9
ISO-690 (author-date, English)SÁNCHEZ-PANIAGUA, Manuel, FIDALGO, Eduardo, ALEGRE, Enrique und JÁÑEZ-MARTINO, Francisco, 2025. Fraud detection in e-commerce: a comparative analysis of features to enhance machine learning models. Electronic Commerce Research. 9 September 2025. P. 1-36. DOI 10.1007/s10660-025-10029-9.
Modern Language Association 9th editionSánchez-Paniagua, M., E. Fidalgo, E. Alegre, und F. Jáñez-Martino. „Fraud Detection in E-Commerce: A Comparative Analysis of Features to Enhance Machine Learning Models“. Electronic Commerce Research, September 2025, S. 1-36, https://doi.org/10.1007/s10660-025-10029-9.
Mohr Siebeck - Recht (Deutsch - Österreich)Sánchez-Paniagua, Manuel/Fidalgo, Eduardo/Alegre, Enrique/Jáñez-Martino, Francisco: Fraud detection in e-commerce: a comparative analysis of features to enhance machine learning models, Electronic Commerce Research 2025, 1-36.
Emerald - HarvardSánchez-Paniagua, M., Fidalgo, E., Alegre, E. und Jáñez-Martino, F. (2025), „Fraud detection in e-commerce: a comparative analysis of features to enhance machine learning models“, Electronic Commerce Research, S. 1-36.