PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies.
Audrey DerChin-Chia Michael YehYan ZhengJunpeng WangZhongfang ZhuangLiang WangWei ZhangEamonn J. KeoghPublished in: SDM (2024)
Keyphrases
- multivariate time series data
- anomaly detection
- multivariate time series
- detect anomalies
- rare events
- non stationary
- domain theory
- stock market
- temporal data
- autoregressive
- generating explanations
- anomalous behavior
- turning points
- dynamic time warping
- hidden markov models
- data structure
- neural network
- temporal patterns
- databases
- data mining tasks
- causal models
- short term
- intrusion detection
- detecting anomalies
- long term
- feature selection
- weather forecasting
- data mining