Random sampling accelerator for attribute reduction
From MaRDI portal
Publication:2069052
DOI10.1016/j.ijar.2021.09.016OpenAlexW3204333750MaRDI QIDQ2069052
Xibei Yang, Keyu Liu, Hamido Fujita, Zhen Chen
Publication date: 20 January 2022
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ijar.2021.09.016
Related Items
Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization ⋮ Feature selection based on fuzzy combination entropy considering global and local feature correlation ⋮ Fast attribute reduction via inconsistent equivalence classes for large-scale data ⋮ A novel variable precision rough set attribute reduction algorithm based on local attribute significance ⋮ Fuzzy information-theoretic feature selection via relevance, redundancy, and complementarity criteria
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Fuzzy-rough feature selection accelerator
- A semantically sound approach to Pawlak rough sets and covering-based rough sets
- Quick attribute reduct algorithm for neighborhood rough set model
- Attribute reduction theory and approach to concept lattice
- Rudiments of rough sets
- Gaussian kernel based fuzzy rough sets: model, uncertainty measures and applications
- Positive approximation: an accelerator for attribute reduction in rough set theory
- Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation
- Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
- Approaches to knowledge reduction based on variable precision rough set model.
- Local rough set: a solution to rough data analysis in big data
- On the NP-hardness of scheduling with time restrictions
- Neighborhood operators for covering-based rough sets
- Three-way decision and granular computing
- Pseudo-label neighborhood rough set: measures and attribute reductions
- Attribute group for attribute reduction
- On NP-hard graph properties characterized by the spectrum
- Variable-precision three-way concepts in \textbf{L}-contexts
- An efficient accelerator for attribute reduction from incomplete data in rough set framework
- Cost-sensitive rough set approach
- Fuzzy rough approximations for set-valued data
- Accelerator for supervised neighborhood based attribute reduction
- Three-way granular computing, rough sets, and formal concept analysis
- Decision reducts and bireducts in a covering approximation space and their relationship to set definability
- Optimal scale selection for multi-scale decision tables
- A new method for measuring uncertainty and fuzziness in rough set theory
- Information entropy, rough entropy and knowledge granulation in incomplete information systems
- Greedy and heuristic algorithms for codes and colorings
- On Reduct Construction Algorithms
- Nearest neighbor pattern classification
This page was built for publication: Random sampling accelerator for attribute reduction
