Simultaneous feature and instance selection in big noisy data using memetic variable neighborhood search.
Chun-Cheng LinJia-Rong KangYu-Lin LiangChih-Chi KuoPublished in: Appl. Soft Comput. (2021)
Keyphrases
- noisy data
- variable neighborhood search
- feature and instance selection
- instance selection
- tabu search
- memetic algorithm
- metaheuristic
- traveling salesman problem
- benchmark instances
- heuristic methods
- hybrid method
- routing problem
- minimum spanning tree
- vehicle routing problem
- missing data
- single machine scheduling problem
- search procedure
- differential evolution
- text classification
- high dimensional
- training data
- simulated annealing
- scheduling problem
- ant colony optimization
- neural network
- supervised learning
- nearest neighbor
- data reduction
- multi class
- support vector machine
- search space
- search algorithm
- machine learning