Neighborhood multigranulation rough sets for cost-sensitive feature selection on hybrid data

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