A Sequence Mining-Based Novel Architecture for Detecting Fraudulent Transactions in Healthcare Systems

Author:

Matloob Irum1ORCID,Khan Shoab Ahmed2ORCID,Rukaiya Rukaiya3,Khattak Muazzam A. Khan4ORCID,Munir Arslan5ORCID

Affiliation:

1. Department of Software Engineering, Fatima Jinnah Women University (FJWU), Rawalpindi, Pakistan

2. Department of Computer and Software Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan

3. Department of Computer Engineering, Sir Syed University of Engineering and Technology, Karachi, Pakistan

4. Department of Computer Science, Quaid-i-Azam University, Islamabad, Pakistan

5. Department of Computer Science, Kansas State University, Manhattan, KS, USA

Funder

Pakistan Government Level Initiative

Shifa International hospital, Islamabad, Pakistan

Kansas State University Open Access Publishing Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 8 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. Building Resilience in Banking Against Fraud with Hyper Ensemble Machine Learning and Anomaly Detection Strategies;SN Computer Science;2024-05-17

2. Optimal Weight-Tuning for Unbalanced Data in Credit Card Fraud Detection;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18

3. Spatio-Temporal Network Based Bank Transactional Behaviour Analysis to Detect Suspicious Activities;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15

4. ChaoG-GRU: Healthcare Transaction Fraud Detection using Chaotic Iterative Gazelle-based Gated Recurrent Unit Technique;2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS);2024-03-14

5. The Smart Application of Data Mining in the Detection of Fraudulent Transactions;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

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