Using multivariate time series and association rules to detect logical change coupling: An empirical study.
Gerardo CanforaMichele CeccarelliLuigi CeruloMassimiliano Di PentaPublished in: ICSM (2010)
Keyphrases
- multivariate time series
- association rules
- multivariate time series data
- association rule mining
- data mining
- temporal association rules
- categorical data
- temporal data
- dimension reduction
- temporal patterns
- phase space reconstruction
- autoregressive
- data mining techniques
- frequent itemsets
- image processing
- computer vision
- spatial structure
- human motion
- data sets
- probabilistic model
- temporal information
- frequent patterns
- itemsets
- knn
- knowledge discovery