Mining Causal Hypotheses in Categorical Time Series by Iterating on Binary Correlations.
Bora I. KumovaDirk SallerPublished in: CD-MAKE (2021)
Keyphrases
- causal relationships
- causal models
- knowledge discovery
- text mining
- bayesian networks
- decision trees
- non stationary
- frequent patterns
- hamming distance
- data mining tasks
- categorical data
- temporal association rules
- data mining
- granger causality
- multivariate time series
- symbolic representation
- mining algorithm
- data mining methods
- pattern mining
- sequential patterns
- association rule mining
- data mining techniques
- stock market
- web mining
- correlation analysis
- data mining algorithms