MADMM: microservice system anomaly detection via multi-modal data and multi-feature extraction
Author:
Funder
the National Natural Science Foundation of China
Liaoning Province Applied Basic Research Program Project
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00521-024-09918-1.pdf
Reference37 articles.
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5. Su Y, Zhao Y, Niu C, Liu R, Sun W, Pei D (2019) Robust anomaly detection for multivariate time series through stochastic recurrent neural network. In: Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining. Association for Computing Machinery, New York, NY, USA pp 2828–2837. https://doi.org/10.1145/3292500.3330672
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