Feature–granularity selection with variable costs for hybrid data
Sign Up to like & getrecommendations! Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-019-03854-2
Abstract: In recent years, cost-sensitive feature selection has drawn much attention. However, some issues still remain to be investigated. Particularly, most existing work deals with single-typed data, while only a few studies deal with hybrid data;… read more here.
Keywords: granularity; granularity selection; feature granularity; cost ... See more keywords
Granularity Selection for Hierarchical Classification Based on Uncertainty Measure
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2022.3161747
Abstract: Feature selection is an important preprocessing step for high-dimensional data mining and machine learning; it is viewed as the selection of the optimal granularity to describe the target concept in rough set theory. Currently, research… read more here.
Keywords: hierarchical classification; uncertainty; granularity selection; granularity ... See more keywords