Pages that link to "Item:Q942332"

The following pages link to Neighborhood rough set based heterogeneous feature subset selection (Q942332):

Displaying 50 items.

• Parameterized attribute reduction with Gaussian kernel based fuzzy rough sets (Q424767) (← links)
• Rough sets based matrix approaches with dynamic attribute variation in set-valued information systems (Q448946) (← links)
• A comparative study of rough sets for hybrid data (Q454876) (← links)
• Attribute reduction of data with error ranges and test costs (Q456456) (← links)
• Some twin approximation operators on covering approximation spaces (Q473371) (← links)
• Multigranulation rough sets: from partition to covering (Q497267) (← links)
• Uncertainty measurement for interval-valued information systems (Q497619) (← links)
• A novel method for attribute reduction of covering decision systems (Q497916) (← links)
• Composite rough sets for dynamic data mining (Q498018) (← links)
• Three-way group decision making based on multigranulation fuzzy decision-theoretic rough set over two universes (Q505255) (← links)
• An entropy-based uncertainty measurement approach in neighborhood systems (Q506315) (← links)
• Parallel attribute reduction algorithms using MapReduce (Q506356) (← links)
• Rough approximation of a fuzzy concept on a hybrid attribute information system and its uncertainty measure (Q508652) (← links)
• Graph and matrix approaches to rough sets through matroids (Q508728) (← links)
• Local multigranulation decision-theoretic rough sets (Q511639) (← links)
• Tri-partition neighborhood covering reduction for robust classification (Q518636) (← links)
• On the relation between rough set reducts and typical testors (Q526674) (← links)
• The fourth type of covering-based rough sets (Q712703) (← links)
• Quick attribute reduct algorithm for neighborhood rough set model (Q726322) (← links)
• A set covering based approach to find the reduct of variable precision rough set (Q726549) (← links)
• A method of learning weighted similarity function to improve the performance of nearest neighbor (Q730907) (← links)
• Attribute reduction and optimal decision rules acquisition for continuous valued information systems (Q730910) (← links)
• Incremental mechanism of attribute reduction based on discernible relations for dynamically increasing attribute (Q780251) (← links)
• A fuzzy similarity-based rough set approach for attribute selection in set-valued information systems (Q781410) (← links)
• Classification by integrating plant stress response gene expression data with biological knowledge (Q899096) (← links)
• Neighborhood based decision-theoretic rough set models (Q899460) (← links)
• Reduction about approximation spaces of covering generalized rough sets (Q985142) (← links)
• Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation (Q996435) (← links)
• A novel approach for reducing attributes and its application to small enterprise financing ability evaluation (Q1646429) (← links)
• Local rough set: a solution to rough data analysis in big data (Q1647855) (← links)
• A relative decision entropy-based feature selection approach (Q1678710) (← links)
• Rough set methods in feature selection via submodular function (Q1701849) (← links)
• Pseudo-label neighborhood rough set: measures and attribute reductions (Q1726344) (← links)
• Efficient parallel Boolean matrix based algorithms for computing composite rough set approximations (Q1750532) (← links)
• Feature selection with partition differentiation entropy for large-scale data sets (Q1750551) (← links)
• Matroidal structure of rough sets from the viewpoint of graph theory (Q1760908) (← links)
• NMGRS: neighborhood-based multigranulation rough sets (Q1951292) (← links)
• Fuzzy neighborhood covering for three-way classification (Q1999041) (← links)
• Attribute reduction based on \(k\)-nearest neighborhood rough sets (Q1999573) (← links)
• Integrating and extending data and decision tools for sustainable third-party reverse logistics provider selection (Q2002863) (← links)
• Attribute group for attribute reduction (Q2023210) (← links)
• Incremental approaches for heterogeneous feature selection in dynamic ordered data (Q2053841) (← links)
• Three-way decision with co-training for partially labeled data (Q2054101) (← links)
• Objective function-based rough membership C-means clustering (Q2056387) (← links)
• Incremental fuzzy rough sets based feature subset selection using fuzzy min-max neural network preprocessing (Q2060786) (← links)
• A relative uncertainty measure for fuzzy rough feature selection (Q2060790) (← links)
• Incremental updating probabilistic approximations under multi-level and multi-dimensional variations in hybrid incomplete decision systems (Q2076984) (← links)
• Three-way approximate reduct based on information-theoretic measure (Q2076993) (← links)
• GLRM: logical pattern mining in the case of inconsistent data distribution based on multigranulation strategy (Q2077014) (← links)
• Variable radius neighborhood rough sets and attribute reduction (Q2092448) (← links)