GBNRS: A novel rough set algorithm for fast adaptive attribute reduction in classification

S Xia, H Zhang, W Li, G Wang, E Giem… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Feature reduction is an important aspect of Big Data analytics on today's ever-larger
datasets. Rough sets are a classical method widely applied in attribute reduction. Most …
被引用次数：156 相关文章
[PDF] researchgate.net

[PDF][PDF] GBNRS: A Novel Rough Set Algorithm for Fast Adaptive Attribute Reduction in Classification

S Xia, H Zhang, W Li, G Wang, E Giem, Z Chen - researchgate.net
Feature reduction is an important aspect of Big Data analytics on today's ever-larger
datasets. Rough sets are a classical method widely applied to attribute reduction. Most …

GBNRS: A Novel Rough Set Algorithm for Fast Adaptive Attribute Reduction in Classification

S Xia, H Zhang, W Li, G Wang, E Giem… - IEEE Transactions on …, 2022 - computer.org
Feature reduction is an important aspect of Big Data analytics on today's ever-larger
datasets. Rough sets are a classical method widely applied in attribute reduction. Most …