NEC: a nested equivalence class-based dependency calculation approach for fast feature selection using rough set theory

DOI10.1016/j.ins.2020.03.092zbMath1474.68293OpenAlexW3030199746MaRDI QIDQ2666807

Yanyan Li

Publication date: 23 November 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.03.092

zbMATH Keywords

heuristic algorithmrough set theoryswarm intelligencefeature selectionattribute reductionpositive region

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (3)

Semi-supervised feature selection based on fuzzy related family ⋮ Fast attribute reduction via inconsistent equivalence classes for large-scale data ⋮ Topological reduction approaches for relation decision systems

Uses Software

• UCI-ml
• RoughSets

Cites Work

• Unnamed Item
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• Rough sets

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