Neighborhood multigranulation rough sets for cost-sensitive feature selection on hybrid data
出版年份 2023 全文链接
标题
Neighborhood multigranulation rough sets for cost-sensitive feature selection on hybrid data
作者
关键词
-
出版物
NEUROCOMPUTING
Volume -, Issue -, Pages 126990
出版商
Elsevier BV
发表日期
2023-11-03
DOI
10.1016/j.neucom.2023.126990
参考文献
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- Multi-granularity sequential three-way recommendation based on collaborative deep learning
- (2022) Xiaoqing Ye et al. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
- A novel approach to attribute reduction based on weighted neighborhood rough sets
- (2021) Meng Hu et al. KNOWLEDGE-BASED SYSTEMS
- A novel hybrid feature selection method considering feature interaction in neighborhood rough set
- (2021) Jihong Wan et al. KNOWLEDGE-BASED SYSTEMS
- Triple-G: a new MGRS and attribute reduction
- (2021) Jing Ba et al. International Journal of Machine Learning and Cybernetics
- Evolutionary Multitasking for Feature Selection in High-Dimensional Classification via Particle Swarm Optimization
- (2021) Ke Chen et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Cost-sensitive hierarchical classification for imbalance classes
- (2020) Weijie Zheng et al. APPLIED INTELLIGENCE
- Incremental feature selection for dynamic hybrid data using neighborhood rough set
- (2020) Wenhao Shu et al. KNOWLEDGE-BASED SYSTEMS
- Non-iterative and Fast Deep Learning: Multilayer Extreme Learning Machines
- (2020) Jie Zhang et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- A mixed integer linear programming support vector machine for cost-effective feature selection
- (2020) In Gyu Lee et al. KNOWLEDGE-BASED SYSTEMS
- Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multigranulation Rough Sets
- (2020) Lin Sun et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Multigranulation Supertrust Model for Attribute Reduction
- (2020) Weiping Ding et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Hybrid Fast Unsupervised Feature Selection for High-dimensional Data
- (2019) Zhaleh Manbari et al. EXPERT SYSTEMS WITH APPLICATIONS
- Feature–granularity selection with variable costs for hybrid data
- (2019) Shujiao Liao et al. SOFT COMPUTING
- Cost-sensitive decision tree with multiple resource constraints
- (2019) Chia-Chi Wu et al. APPLIED INTELLIGENCE
- Attribute reducts of multi-granulation information system
- (2019) Qingzhao Kong et al. ARTIFICIAL INTELLIGENCE REVIEW
- Granularity-driven sequential three-way decisions: A cost-sensitive approach to classification
- (2019) Yu Fang et al. INFORMATION SCIENCES
- A novel test-cost-sensitive attribute reduction approach using the binary bat algorithm
- (2019) Xiaojun Xie et al. KNOWLEDGE-BASED SYSTEMS
- Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems
- (2019) Lin Sun et al. KNOWLEDGE-BASED SYSTEMS
- Feature Selection Based on Neighborhood Self-Information
- (2019) Changzhong Wang et al. IEEE Transactions on Cybernetics
- Test-cost-sensitive rough set based approach for minimum weight vertex cover problem
- (2018) Xiaojun Xie et al. APPLIED SOFT COMPUTING
- Multi-granularity feature selection on cost-sensitive data with measurement errors and variable costs
- (2018) Shujiao Liao et al. KNOWLEDGE-BASED SYSTEMS
- Redefining nearest neighbor classification in high-dimensional settings
- (2018) Julio López et al. PATTERN RECOGNITION LETTERS
- Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression
- (2017) Qi Chen et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Multi-Objective Particle Swarm Optimization Approach for Cost-Based Feature Selection in Classification
- (2017) Yong Zhang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Minimal decision cost reduct in fuzzy decision-theoretic rough set model
- (2017) Jingjing Song et al. KNOWLEDGE-BASED SYSTEMS
- Cost-sensitive rough set: A multi-granulation approach
- (2017) Hengrong Ju et al. KNOWLEDGE-BASED SYSTEMS
- Group-penalized feature selection and robust twin SVM classification via second-order cone programming
- (2017) Julio López et al. NEUROCOMPUTING
- Class-specific cost regulation extreme learning machine for imbalanced classification
- (2017) Wendong Xiao et al. NEUROCOMPUTING
- Tri-partition cost-sensitive active learning through kNN
- (2017) Fan Min et al. SOFT COMPUTING
- Adaptive Semi-Supervised Classifier Ensemble for High Dimensional Data Classification
- (2017) Zhiwen Yu et al. IEEE Transactions on Cybernetics
- Cost-sensitive rough set approach
- (2016) Hengrong Ju et al. INFORMATION SCIENCES
- Cost-sensitive feature selection based on adaptive neighborhood granularity with multi-level confidence
- (2016) Hong Zhao et al. INFORMATION SCIENCES
- Three-way recommender systems based on random forests
- (2016) Heng-Ru Zhang et al. KNOWLEDGE-BASED SYSTEMS
- Discrete particle swarm optimization approach for cost sensitive attribute reduction
- (2016) Jianhua Dai et al. KNOWLEDGE-BASED SYSTEMS
- An efficient feature selection algorithm for hybrid data
- (2016) Feng Wang et al. NEUROCOMPUTING
- Feature selection in mixed data: A method using a novel fuzzy rough set-based information entropy
- (2016) Xiao Zhang et al. PATTERN RECOGNITION
- A PSO algorithm for multi-objective cost-sensitive attribute reduction on numeric data with error ranges
- (2016) Yu Fang et al. SOFT COMPUTING
- A cost sensitive decision tree algorithm with two adaptive mechanisms
- (2015) Xiangju Li et al. KNOWLEDGE-BASED SYSTEMS
- Test-cost-sensitive attribute reduction on heterogeneous data for adaptive neighborhood model
- (2015) Anjing Fan et al. SOFT COMPUTING
- Attribute Reduction for Heterogeneous Data Based on the Combination of Classical and Fuzzy Rough Set Models
- (2014) Degang Chen et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Pessimistic rough set based decisions: A multigranulation fusion strategy
- (2014) Yuhua Qian et al. INFORMATION SCIENCES
- Feature selection via neighborhood multi-granulation fusion
- (2014) Yaojin Lin et al. KNOWLEDGE-BASED SYSTEMS
- Optimal cost-sensitive granularization based on rough sets for variable costs
- (2014) Hong Zhao et al. KNOWLEDGE-BASED SYSTEMS
- A framework for cost-based feature selection
- (2014) V. Bolón-Canedo et al. PATTERN RECOGNITION
- Test cost sensitive multigranulation rough set: Model and minimal cost selection
- (2013) Xibei Yang et al. INFORMATION SCIENCES
- NMGRS: Neighborhood-based multigranulation rough sets
- (2012) Guoping Lin et al. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
- An Uncertainty Measure for Incomplete Decision Tables and Its Applications
- (2012) Jianhua Dai et al. IEEE Transactions on Cybernetics
- Neighborhood classifiers
- (2006) Q HU et al. EXPERT SYSTEMS WITH APPLICATIONS
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