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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-08-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/24/8/1095 |