PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies.
Audrey DerChin-Chia Michael YehYan ZhengJunpeng WangZhongfang ZhuangLiang WangWei ZhangEamonn J. KeoghPublished in: CoRR (2024)
Keyphrases
- anomaly detection
- multivariate time series data
- detect anomalies
- dynamic time warping
- rare events
- non stationary
- stock market
- multivariate time series
- anomalous behavior
- weather forecasting
- root cause
- real time
- machine learning
- turning points
- symbolic representation
- generating explanations
- chronic hepatitis
- detecting anomalies
- financial time series
- data mining tasks
- temporal patterns
- data mining applications
- high dimensional
- website
- neural network