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Parallel attribute reduction in dominance-based neighborhood rough set
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Outgoing claims: the papers this work cites, builds on, or argues with.
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The WEKA data mining software
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K -size partial reduct: Positive region optimization for attribute reduction
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Self-adaptive weighted interaction feature selection based on robust fuzzy dominance rough sets for monotonic classification
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A novel incremental attribute reduction by using quantitative dominance-based neighborhood self-information
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A novel hierarchical feature selection method based on large margin nearest neighbor learning
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Feature selection considering feature relevance, redundancy and interactivity for neighbourhood decision systems
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Incremental feature selection: Parallel approach with local neighborhood rough sets and composite entropy
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A Gene selection approach based on the fisher linear discriminant and the neighborhood rough set
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Feature Selection for Partially Labeled Data Based on Neighborhood Granulation Measures
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A Fast Reduction Algorithm with Attribute Pre-Sort Based on Neighborhood Rough Set
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Supervised Neighborhood Based Ensemble Attribute Reduction
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An Extended Rough Set Model of Graph Structure for Incomplete Information System Using Spark
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An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution
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Feature Selection Using Generalized Multi-Granulation Dominance Neighborhood Rough Set Based on Weight Partition
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Quantitative Dominance-Based Neighborhood Rough Sets via Fuzzy Preference Relations
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Systematic Feature Selection Based on Three-Level Improvements of Fuzzy Dominance Three-Way Neighborhood Rough Sets
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Local Feature Selection for Large-scale Data Sets Limited Labels
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Outlier Detection Using Three-Way Neighborhood Characteristic Regions and Corresponding Fusion Measurement
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Shared Nearest-Neighbor Quantum Game-Based Attribute Reduction With Hierarchical Coevolutionary Spark and Its Application in Consistent Segmentation of Neonatal Cerebral Cortical Surfaces
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Large-Scale Meta-Heuristic Feature Selection Based on BPSO Assisted Rough Hypercuboid Approach
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Interval Dominance-Based Feature Selection for Interval-Valued Ordered Data
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RHDOFS: A Distributed Online Algorithm Towards Scalable Streaming Feature Selection
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Towards Efficiency and Decentralization: A Blockchain Assisted Distributed Fuzzy-Rough Feature Selection
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Multigranulation Relative Entropy-Based Mixed Attribute Outlier Detection in Neighborhood Systems
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FWNRS:A Fast Attribute Reduction Algorithm based on Weighted Neighborhood Rough Set
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Parallel Attribute Reduction Algorithm for Complex Heterogeneous Data Using MapReduce
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Feature Genes Selection Using Fuzzy Rough Uncertainty Metric for Tumor Diagnosis
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A Parallel Attribute Reduction Method Based on Classification
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Feature Selection Using Neighborhood Positive Region Certainty
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Attribute Reduction Based on Weighted k-Nearest Neighborhood in Hybrid Decision Information System
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Fast Attribute Reduction Algorithm Based on Maximum Decision Entropy
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On the Properties and Applications of Inconsistent Neighborhood in Neighborhood Rough Set Models
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A Parallel Rough Set Theory for Nonlinear Dimension-Reduction in Big Data Analysis
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Incremental approximation computation in incomplete ordered decision systems
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Feature Subset Selection Based on Variable Precision Neighborhood Rough Sets
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RETRACTED: A heuristic algorithm of attribute reduction in incomplete ordered decision systems
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Class-specific attribute reducts based on neighborhood rough sets
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Dynamic Online Label Distribution Feature Selection Based on Label Importance and Label Correlation
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Parallel Computation of Rough Set Approximations in Information Systems with Missing Decision Data
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An Attribute Reduction Method Using Neighborhood Entropy Measures in Neighborhood Rough Sets
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Feature Selection Techniques for Big Data Analytics
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A Soft-Rough Set Based Approach for Handling Contextual Sparsity in Context-Aware Video Recommender Systems
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Using Neighborhood Rough Set Theory to Address the Smart Elderly Care in Multi-Level Attributes
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Multi-Label Attribute Reduction Based on Neighborhood Multi-Target Rough Sets
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An Integrated Online Mechanism for Feature Selection and Classification in Streaming Data
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An Integrated Online Mechanism for Feature Selection and Classification in Streaming Data
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Multi-Class Classification of Agricultural Data Based on Random Forest and Feature Selection
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In-depth feature selection for continuous data classification with granule mining
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