Neighborhood rough set based heterogeneous feature subset selection
From MaRDI portal
Publication:942332
DOI10.1016/j.ins.2008.05.024zbMath1154.68466OpenAlexW2158633287MaRDI QIDQ942332
Daren Yu, Congxin Wu, Jinfu Liu, Qinghua Hu
Publication date: 5 September 2008
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2008.05.024
Related Items (only showing first 100 items - show all)
A novel method to attribute reduction based on weighted neighborhood probabilistic rough sets ⋮ A novel granular computing model based on three-way decision ⋮ Equivalent characterizations of some graph problems by covering-based rough sets ⋮ Feature genes selection using fuzzy rough uncertainty metric for tumor diagnosis ⋮ A novel approach for reducing attributes and its application to small enterprise financing ability evaluation ⋮ Local rough set: a solution to rough data analysis in big data ⋮ Generic extended multigranular sets for mixed and incomplete information systems ⋮ Attribute reduction for multi-label classification based on labels of positive region ⋮ A fast neighborhood classifier based on hash bucket with application to medical diagnosis ⋮ Attribute reduction based on D-S evidence theory in a hybrid information system ⋮ Test-cost-sensitive attribute reduction on heterogeneous data for adaptive neighborhood model ⋮ A neighborhood rough set model with nominal metric embedding ⋮ An Incremental Learning Approach for Updating Approximations in Rough Set Model Over Dual-Universes ⋮ NEC: a nested equivalence class-based dependency calculation approach for fast feature selection using rough set theory ⋮ Granular regression with a gradient descent method ⋮ Object similarity measures and Pawlak's indiscernibility on decision tables ⋮ A relative decision entropy-based feature selection approach ⋮ Feature selection in mixed data: a method using a novel fuzzy rough set-based information entropy ⋮ Multi-label feature selection based on rough granular-ball and label distribution ⋮ Semi-supervised feature selection for partially labeled mixed-type data based on multi-criteria measure approach ⋮ Fuzzy granular convolutional classifiers ⋮ Automated granule discovery in continuous data for feature selection ⋮ Double-local rough sets for efficient data mining ⋮ Information-theoretic partially labeled heterogeneous feature selection based on neighborhood rough sets ⋮ Improved evolutionary-based feature selection technique using extension of knowledge based on the rough approximations ⋮ Three-way sampling for rapid attribute reduction ⋮ An improved decision tree algorithm based on variable precision neighborhood similarity ⋮ Variable precision multi-granulation composite rough sets with multi-decision and their applications to medical diagnosis ⋮ Feature selection for label distribution learning using dual-similarity based neighborhood fuzzy entropy ⋮ Attribute reduction with personalized information granularity of nearest mutual neighbors ⋮ Classification by integrating plant stress response gene expression data with biological knowledge ⋮ A comparison study of similarity measures for covering-based neighborhood classifiers ⋮ Neighborhood based decision-theoretic rough set models ⋮ Parameterized attribute reduction with Gaussian kernel based fuzzy rough sets ⋮ Rough set methods in feature selection via submodular function ⋮ NMGRS: neighborhood-based multigranulation rough sets ⋮ Efficient approaches for maintaining dominance-based multigranulation approximations with incremental granular structures ⋮ Rough sets based matrix approaches with dynamic attribute variation in set-valued information systems ⋮ A comparative study of rough sets for hybrid data ⋮ Attribute reduction of data with error ranges and test costs ⋮ Pseudo-label neighborhood rough set: measures and attribute reductions ⋮ Some twin approximation operators on covering approximation spaces ⋮ Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification ⋮ Dominance-Based Neighborhood Rough Sets and Its Attribute Reduction ⋮ Multigranulation rough sets: from partition to covering ⋮ Uncertainty measurement for interval-valued information systems ⋮ A novel method for attribute reduction of covering decision systems ⋮ Composite rough sets for dynamic data mining ⋮ Three-way recommendation model based on shadowed set with uncertainty invariance ⋮ New topological approach of rough set generalizations ⋮ Three-way group decision making based on multigranulation fuzzy decision-theoretic rough set over two universes ⋮ An entropy-based uncertainty measurement approach in neighborhood systems ⋮ Parallel attribute reduction algorithms using MapReduce ⋮ Rough approximation of a fuzzy concept on a hybrid attribute information system and its uncertainty measure ⋮ Graph and matrix approaches to rough sets through matroids ⋮ Local multigranulation decision-theoretic rough sets ⋮ Efficient parallel Boolean matrix based algorithms for computing composite rough set approximations ⋮ Feature selection with partition differentiation entropy for large-scale data sets ⋮ Tri-partition neighborhood covering reduction for robust classification ⋮ A New Description of Transversal Matroids Through Rough Set Approach ⋮ On the relation between rough set reducts and typical testors ⋮ Fuzzy neighborhood covering for three-way classification ⋮ Attribute reduction based on \(k\)-nearest neighborhood rough sets ⋮ Integrating and extending data and decision tools for sustainable third-party reverse logistics provider selection ⋮ Matroidal structure of rough sets from the viewpoint of graph theory ⋮ The fourth type of covering-based rough sets ⋮ Unnamed Item ⋮ Reduction about approximation spaces of covering generalized rough sets ⋮ Attribute group for attribute reduction ⋮ Cost-sensitive rough set approach ⋮ Ensemble-based neighborhood attribute reduction: a multigranularity view ⋮ A novel attribute reduction approach for multi-label data based on rough set theory ⋮ Quick attribute reduct algorithm for neighborhood rough set model ⋮ A set covering based approach to find the reduct of variable precision rough set ⋮ A method of learning weighted similarity function to improve the performance of nearest neighbor ⋮ Attribute reduction and optimal decision rules acquisition for continuous valued information systems ⋮ Dynamical updating fuzzy rough approximations for hybrid data under the variation of attribute values ⋮ Multigranulation information fusion: a Dempster-Shafer evidence theory-based clustering ensemble method ⋮ Accelerator for supervised neighborhood based attribute reduction ⋮ Incremental approaches for heterogeneous feature selection in dynamic ordered data ⋮ Three-way decision with co-training for partially labeled data ⋮ Objective function-based rough membership C-means clustering ⋮ A relative uncertainty measure for fuzzy rough feature selection ⋮ Incremental updating probabilistic neighborhood three-way regions with time-evolving attributes ⋮ Neighborhood granules and rough rule-base in tracking ⋮ Maximal similarity granular rough sets for mixed and incomplete information systems ⋮ Incremental updating probabilistic approximations under multi-level and multi-dimensional variations in hybrid incomplete decision systems ⋮ Three-way approximate reduct based on information-theoretic measure ⋮ GLRM: logical pattern mining in the case of inconsistent data distribution based on multigranulation strategy ⋮ Kernel neighborhood rough sets model and its application ⋮ Incremental mechanism of attribute reduction based on discernible relations for dynamically increasing attribute ⋮ A fuzzy similarity-based rough set approach for attribute selection in set-valued information systems ⋮ Exploring Neighborhood Structures with Neighborhood Rough Sets in Classification Learning ⋮ Variable radius neighborhood rough sets and attribute reduction ⋮ Fuzzy-Rough MRMS Method for Relevant and Significant Attribute Selection ⋮ Novel rough set theory-based method for epistemic uncertainty modeling, analysis and applications ⋮ Stable attribute reduction for neighborhood rough set ⋮ Four matroidal structures of covering and their relationships with rough sets ⋮ Neighborhood rough sets based multi-label classification for automatic image annotation ⋮ Incremental rough reduction with stable attribute group
Uses Software
Cites Work
- Consistency-based search in feature selection
- Rough sets: some extensions
- Variable precision rough set model
- Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic
- Reduction and axiomization of covering generalized rough sets.
- Relational interpretations of neighborhood operators and rough set approximation operators
- Selecting informative features with fuzzy-rough sets and its application for complex systems monitoring
- A new approach to attribute reduction of consistent and inconsistent covering decision systems with covering rough sets
- Generalized rough sets based on relations
- Rough set methods in feature selection and recognition
- Combined SVM-based feature selection and classification
- Using rough sets with heuristics for feature selection
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Neighborhood rough set based heterogeneous feature subset selection