Using Bayesian Network Learning Algorithm to Discover Causal Relations in Multivariate Time Series.
Zhenxing WangLaiwan ChanPublished in: ICDM (2011)
Keyphrases
- multivariate time series
- causal relations
- causal relationships
- learning algorithm
- bayesian networks
- conditional probabilities
- causal models
- multivariate time series data
- dimension reduction
- probabilistic inference
- temporal data
- temporal patterns
- machine learning
- data mining
- probabilistic model
- autoregressive
- graphical models
- probability distribution
- active learning
- random variables
- training data
- spatial structure
- influence diagrams
- reinforcement learning
- supervised learning
- categorical data
- training examples
- belief networks
- temporal relations
- human motion
- conditional random fields