On Causality Inference in Time Series.
Mohammad Taha BahadoriYan LiuPublished in: AAAI Fall Symposium: Discovery Informatics (2012)
Keyphrases
- image segmentation
- causal inference
- granger causality
- inference process
- data sets
- moving average
- bayesian networks
- dynamic time warping
- data mining tasks
- real time
- bayesian inference
- probabilistic inference
- belief networks
- knowledge base
- inference engine
- sequential data
- data structure
- multivariate time series
- causal reasoning
- causal relations
- inference mechanism
- artificial intelligence
- data mining
- chronic hepatitis