A set-cover-based approach for the test-cost-sensitive attribute reduction problem.
Anhui TanWei-Zhi WuYuzhi TaoPublished in: Soft Comput. (2017)
Keyphrases
- cost sensitive
- attribute reduction
- set cover
- rough sets
- rough set theory
- multi class
- greedy algorithm
- decision table
- naive bayes
- approximation algorithms
- network flow
- active learning
- concept lattice
- solution space
- support vector machine
- greedy heuristic
- decision rules
- np hard
- genetic algorithm
- convex hull
- data sets
- data reduction
- nearest neighbor
- data mining
- neural network