This article proposes a development of detecting patches of additive outliers in autoregressive time series models. The procedure improves the existing detection methods via Gibbs sampling. We combine

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HDFS TraceBench Preprocessed Logs 2026

异常检测

系统故障诊断

Preprocessed HDFS TraceBench: normal/failure count vectors and event vocabulary

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Additional file 5 of Evaluation of the application of sequence data to the identification of outbreaks of disease using anomaly detection methods

疾病监测

异常检测

Additional file 5. Sample of the data for analysis.

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