GUARD: Multigranularity-based Unsupervised Anomaly Detection Algorithm for Multivariate Time Series.
Fan MengQunli YangZhengda HeShangdong YangWeidong TangPublished in: CCIS (2022)
Keyphrases
- detection algorithm
- multivariate time series
- multivariate time series data
- detection method
- detection accuracy
- temporal patterns
- unsupervised learning
- temporal data
- moving objects
- supervised learning
- categorical data
- dimension reduction
- spatial structure
- semi supervised
- autoregressive
- computer vision
- image sequences
- website