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Big Data-Driven Abnormal Behavior Detection in Healthcare Based on Association Rules

  • Published:2020 Issue: Volume:8 Page:129002-129011
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Zhou ShengyaoORCID,He Jie,Yang Hui,Chen DonghuaORCID,Zhang RuntongORCID

Funder

National Natural Science Foundation of China

National Social Science Foundation of China

Fundamental Research Funds for the Central Universities

National Engineering Laboratory Open Fund Project

Beijing Logistics Informatics Research Base

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 22 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. Comprehensive Performance Evaluation of Association Rule Mining Algorithms for Border Gateway Protocol Anomaly Detection;2024 4th International Conference on Emerging Smart Technologies and Applications (eSmarTA);2024-08-06

2. Big Data Insights: Pioneering Changes in FinTech;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

3. Intelligent deep learning-based disease monitoring system in 5G network using multi-disease big data;Journal of Biomolecular Structure and Dynamics;2024-02-09

4. Enriching Big Data Intrusion Detection and Service Through Mapping and Parallel Computation;Lecture Notes in Networks and Systems;2024

5. A Data Mining and Processing Method for E-Commerce Potential Customers Based on Apriori Association Rules Algorithm;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024
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