IFDTC4.5: Intuitionistic fuzzy logic based decision tree for E-transactional fraud detection-Reference-Cited by-同舟云学术

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IFDTC4.5: Intuitionistic fuzzy logic based decision tree for E-transactional fraud detection

Published:2020-06 Issue: Volume:52 Page:102469
ISSN:2214-2126
Container-title:Journal of Information Security and Applications
language:en
Short-container-title:Journal of Information Security and Applications

Author:

Askari Sikdar Md. S,Hussain Md. Anwar

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality,Software

Reference51 articles.

1. A cost-sensitive decision tree approach for fraud detection;Sahin;Expert Syst Appl,2013

2. Intuitionistic fuzzy id3: an approach to e-transactional fraud detection;Askari,2017

3. Understanding credit card frauds;Bhatla;Cards Bus Rev,2003

4. Your credit card under watch;Dash,2008

5. R.B. of India Bank–wise atm/pos/card statistics 2014 http://www.rbi.org.in/scripts/ATMView.aspx. [Online; accessed 12-June-2014].

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing fraud detection efficiency in mobile transactions through the integration of bidirectional 3d Quasi-Recurrent Neural network and blockchain technologies;Expert Systems with Applications;2024-08

2. AN ENHANCED FEATURE ENGINEERING TECHNIQUE FOR CREDIT CARD FRAUD DETECTION;FUDMA JOURNAL OF SCIENCES;2024-07-29

3. A survey on novel fraud detection techniques in transaction using machine learning and deep learning;AIP Conference Proceedings;2024

4. Detection of Phishing Link and QR Code of UPI Transaction using Machine Learning;2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA);2023-12-21

5. Decentralized Federated Learning-Enabled Relation Aggregation for Anomaly Detection;Information;2023-12-03

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