SDFVAE is a robust and noisy-resilient anomaly detection method based on static and dynamic factorization, which is capable of explicitly learning the representations of time-invariant characteristics of multivariate KPIs, in addition to the time-varying characteristics.
Regions highlighted in red represent the ground-truth anomaly segments. The blue line is the log-likelihood or anomaly score output by SDFVAE. <br>
We are able to determine the anomalies via a specific threshold, due to the lower the log-likelihood the higher the anomaly score. <br>
Since we do not focus on the thresholding technique, in practice, the threshold for detecting anomaly from the anomaly score can be selected by the best F1-score. <br>
We show an example of the log-likelihood tested on "machine-1-1", the picture is in the directory named "testing_results". `<br>`
Regions highlighted in red represent the ground-truth anomaly segments. The blue line is the log-likelihood or anomaly score output by SDFVAE. `<br>`
We are able to determine the anomalies via a specific threshold, due to the lower the log-likelihood the higher the anomaly score. `<br>`
Since we do not focus on the thresholding technique, in practice, the threshold for detecting anomaly from the anomaly score can be selected by the best F1-score. `<br>`
The detailed testing results can be found in the directory named "log_tester".
## Evaluation results
The detailed resuts of evaluation are in the directory named "log_evaluator". <br>
We obtain all F1-score by enumerating all thresholds and use the best F1-score as the final score.
The detailed resuts of evaluation are in the directory named "log_evaluator". `<br>`
We obtain all F1-score by enumerating all thresholds and use the best F1-score as the final score.
# Exp_datasets
## Dataset Information
### Data format
There are 2 CSV files of each dataset, one is the KPIs data file, the other is the corresponding ground-truth file. <br>
The KPIs data file has the following format: <br>
* The first row is the timestamp <br>
* The other rows is the KPIs values, and each row corresponds to a KPI <br>
