MEMU: More Efficient Algorithm to Mine High Average-Utility Patterns With Multiple Minimum Average-Utility Thresholds.
Jerry Chun-Wei LinShifeng RenPhilippe Fournier-VigerPublished in: IEEE Access (2018)
Keyphrases
- standard deviation
- high efficiency
- learning algorithm
- np hard
- preprocessing
- experimental evaluation
- improved algorithm
- computationally efficient
- objective function
- high accuracy
- times faster
- computational complexity
- dynamic programming
- search space
- single pass
- optimal solution
- cost function
- particle swarm optimization
- highly efficient
- pruning strategy
- detection algorithm
- high utility
- utility function
- space complexity
- square error
- recognition algorithm
- expectation maximization
- simulated annealing
- evolutionary algorithm
- matching algorithm
- input data
- color constancy
- computational cost
- multi objective
- threshold values
- average distance
- neural network