Providing and evaluating a comprehensive model for detecting fraudulent electronic payment card transactions with a two-level filter based on flow processing in big data-Reference-Cited by-同舟云学术

Providing and evaluating a comprehensive model for detecting fraudulent electronic payment card transactions with a two-level filter based on flow processing in big data

Published:2023-10-04 Issue:8 Volume:15 Page:4161-4166
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Banirostam Hamid,Banirostam Touraj^ORCID,Pedram Mir Mohsen,Rahmani Amir Masoud

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s41870-023-01501-6.pdf

Reference18 articles.

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2. Jiang P, Suzuki H, Obi T (2023) XAI-based cross-ensemble feature ranking methodology for machine learning models. Int J Inf Technol 15:1759–1768. https://doi.org/10.1007/s41870-023-01270-2

3. Yadav DC, Pal S (2022) Thyroid prediction using ensemble data mining techniques. Int J Inf Technol 14:1273–1283. https://doi.org/10.1007/s41870-019-00395-7

4. Patil AR, Subbaraman S (2022) Performance analysis of static hand gesture recognition approaches using artificial neural network, support vector machine and two stream based transfer learning approach. Int J Inf Technol 14:3781–3792. https://doi.org/10.1007/s41870-021-00831-7

5. Srinivas K, Prasanth N, Trivedi R et al (2022) A novel machine learning inspired algorithm to predict real-time network intrusions. Int J Inf Technol 14:3471–3480. https://doi.org/10.1007/s41870-022-00925-w

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