A Pattern Dictionary Method for Anomaly Detection
In this paper, we propose a compression-based anomaly detection method for time series and sequence data using a pattern dictionary. The proposed method is capable of learning complex patterns in a training data sequence, using these learned patterns to detect potentially anomalous patterns in a tes...
Tallennettuna:
| Päätekijät: | , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI AG
2022-08-01
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| Sarja: | Entropy |
| Aiheet: | |
| Linkit: | https://www.mdpi.com/1099-4300/24/8/1095 |
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