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Sample Pair Selection for Attribute Reduction with Rough Set
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Order Based Genetic Algorithms for the Search of Approximate Entropy Reducts
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Parallel Random Search and Tabu Search for the Minimal Consistent Subset Selection Problem
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The Discernibility Matrices and Functions in Information Systems
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Reduction algorithms based on discernibility matrix: The ordered attributes method
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Induction of fuzzy decision trees
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Positive approximation: An accelerator for attribute reduction in rough set theory
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Dimensionality reduction based on rough set theory: A review
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Variable-precision dominance-based rough set approach and attribute reduction
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A new approach to attribute reduction of consistent and inconsistent covering decision systems with covering rough sets
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Discernibility matrix simplification for constructing attribute reducts
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Approaches to knowledge reduction of covering decision systems based on information theory
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A fast approach to attribute reduction in incomplete decision systems with tolerance relation-based rough sets
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Relative reducts in consistent and inconsistent decision tables of the Pawlak rough set model
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MGRS: A multi-granulation rough set
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Approximation reduction in inconsistent incomplete decision tables
inferredcites →https://doi.org/10.1016/j.knosys.2010.07.001openalex-snapshot
Relation between concept lattice reduction and rough set reduction
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A rough set approach to feature selection based on power set tree
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Research of reduct features in the variable precision rough set model
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Reduction Techniques for Instance-Based Learning Algorithms
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Minimal consistent set (MCS) identification for optimal nearest neighbor decision systems design
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Another move toward the minimum consistent subset: a tabu search approach to the condensed nearest neighbor rule
inferredcites →https://doi.org/10.1109/cic.2006.42openalex-snapshot
Instance Selection and Feature Weighting Using Evolutionary Algorithms
inferredcites →https://doi.org/10.1109/icsmc.2007.4413726openalex-snapshot
A sample selection algorithm in fuzzy decision tree induction and its theoretical analyses
inferredcites →https://doi.org/10.1109/t-c.1974.223827openalex-snapshot
Finding Prototypes For Nearest Neighbor Classifiers
inferredcites →https://doi.org/10.1109/tit.1968.1054155openalex-snapshot
The condensed nearest neighbor rule (Corresp.)
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THE ALGORITHM ON KNOWLEDGE REDUCTION IN INCOMPLETE INFORMATION SYSTEMS
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ON KNOWLEDGE REDUCTION IN INCONSISTENT DECISION INFORMATION SYSTEMS
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COMBINATION ENTROPY AND COMBINATION GRANULATION IN ROUGH SET THEORY
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Two FPGA Devices in the Problem of Finding Minimal Reducts
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Joint Multi-source Reduction
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An Efficient BP-Neural Network Classification Model Based on Attribute Reduction
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Enhanced Over_Sampling Techniques for Imbalanced Big Data Set Classification
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