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PoSBert: Log Classification via Modified Bert Based on Part-of-Speech Weight
Logs that record the information of events conducted by clusters are of great importance to the system maintenance. The log …
Jing Zhang
,
Zezhou Li
,
Xianbo Zhang
,
Feng Lin
,
Chao Wang
,
Xingye Cai
引用
DOI
Link
Attention Based CNN-LSTM Network for Anomaly Pattern Classification of Multivariate Time Series
The multivariate time series (MTS) is observed in various fields nowadays so as to monitor the operating status of equipment like …
Xianbo Zhang
,
Chao Wang
,
Jing Zhang
,
Feng Lin
,
Zezhou Li
引用
DOI
Link
Natural Language Processing-based Model for Log Anomaly Detection
Logs are widely used in IT industry and the anomaly detection of logs is essential to identify the running status of systems. …
Zezhou Li
,
Jing Zhang
,
Xianbo Zhang
,
Feng Lin
,
Chao Wang
,
Xingye Cai
引用
DOI
Link
CANet: Convolutional Attention-based Network for Multivariate Time Series Anomaly Detection
Anomaly detection of multivariate time series has been an active research topic for decades owing to the broad application of time …
Xianbo Zhang
,
Jing Zhang
,
Chao Wang
,
Feng Lin
,
Zezhou Li
引用
DOI
Link
Multi-Attention Integrated Convolutional Network for Anomaly Detection of Time Series
Time series containing abundant monitoring information can tell how a system is running, and anomaly detection of time series is …
Jing Zhang
,
Chao Wang
,
Xianbo Zhang
,
Zezhou Li
引用
DOI
Link
Threshold-free Anomaly Detection for Streaming Time Series through Deep Learning
Anomaly detection for streaming time series is a key issue in real applications, especially in the IT industry like ecommerce. Instead …
Jing Zhang
,
Chao Wang
,
Zezhou Li
,
Xianbo Zhang
引用
DOI
Link
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