Time Series Clustering for Anomaly Detection Using Competitive Neural Networks

Author:

Barreto Guilherme A.,Aguayo Leonardo

Publisher

Springer Berlin Heidelberg

Cited by 16 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. Sensor Anomaly Detection using Self Features Organizing Maps and Hierarchical-Clustring for Water Quality Assessment;2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE);2022-11-26

2. A Dynamic Stress-Scape Framework to Evaluate Potential Effects of Multiple Environmental Stressors on Gulf of Alaska Juvenile Pacific Cod;Frontiers in Marine Science;2021-05-12

3. Enhancing intrusion detection with feature selection and neural network;International Journal of Intelligent Systems;2021-02-24

4. A Comparative Analysis of a Novel Anomaly Detection Algorithm with Neural Networks;Deep Learning and Neural Networks;2020

5. On Real-Time Monitoring on Data Stream for Traffic Flow Anomalies;2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (ISPA/IUCC/BDCloud/SocialCom/SustainCom);2018-12

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