A GA-based approach for mining membership functions and concept-drift patterns.
Chun-Hao ChenYu LiTzung-Pei HongYan-Kang LiEric Hsueh-Chan LuPublished in: CEC (2015)
Keyphrases
- concept drift
- membership functions
- genetic optimization
- fuzzy sets
- data stream mining
- fuzzy logic
- pattern mining
- fuzzy association rules
- data streams
- fuzzy rules
- frequent patterns
- data mining techniques
- non stationary
- fuzzy model
- genetic algorithm ga
- streaming data
- fuzzy controller
- genetic algorithm
- change detection
- sequential patterns
- classification algorithm
- drift detection
- data stream classification
- text mining
- data mining
- fuzzy rule based systems
- computational intelligence
- input variables
- frequent pattern mining
- knowledge discovery
- data sets
- decision making
- genetic programming
- data distribution
- artificial neural networks
- frequent itemsets
- initial values
- information granulation
- evolutionary algorithm
- fuzzy partition
- rough sets
- itemsets
- association rule mining