A comprehensive survey of anomaly detection in banking, wireless sensor networks, social networks, and healthcare
Author:
Affiliation:
1. Department of Information Technology, Tarbiat Modares University, Tehran, Iran
2. Department of Computer Engineering, Alzahra University, Tehran, Iran
Publisher
IOS Press
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction,Software
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4. Tran PH, Tran KP, Huong TT, Heuchenne C, HienTran P, Le TMH. Real time data-driven approaches for credit card fraud detection. in: Proceedings of the 2018 International Conference on E-Business and Applications. ACM. 2018; 6-9.
5. Anomaly detection: A survey;Chandola;ACM Computing Surveys (CSUR),2009
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