A GA-based approach for finding appropriate granularity levels of patterns from time series.
Chun-Hao ChenVincent S. TsengHsieh-Hui YuTzung-Pei HongNeil Y. YenPublished in: Int. J. Web Grid Serv. (2016)
Keyphrases
- genetic algorithm ga
- genetic algorithm
- multivariate time series
- abstraction levels
- temporal patterns
- multivariate time series data
- levels of abstraction
- dynamic time warping
- evolutionary algorithm
- recurring patterns
- discovering patterns
- genetic operators
- hybrid genetic algorithm
- abnormal patterns
- pattern discovery
- non stationary
- sequential data
- fitness function
- periodic patterns
- data mining techniques
- lower levels
- multi objective
- ant colony optimization
- frequent patterns
- hybrid algorithm
- particle swarm optimization pso