Feature–granularity selection with variable costs for hybrid data

Multi-granularity feature selection on cost-sensitive data with measurement errors and variable costs

(2018) Shujiao Liao et al.   KNOWLEDGE-BASED SYSTEMS

Cost-sensitive feature selection via the ℓ2,1-norm

(2018) Hong Zhao et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

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

Large Margin Distribution Learning with Cost Interval and Unlabeled Data

(2016) Yu-Hang Zhou et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Cost-sensitive feature selection using random forest: Selecting low-cost subsets of informative features

(2016) Qifeng Zhou et al.   KNOWLEDGE-BASED SYSTEMS

Multi-criteria feature selection on cost-sensitive data with missing values

(2016) Wenhao Shu et al.   PATTERN RECOGNITION

Fast algorithms for computing rough approximations in set-valued decision systems while updating criteria values

(2015) Chuan Luo et al.   INFORMATION SCIENCES

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

Optimal cost-sensitive granularization based on rough sets for variable costs

(2014) Hong Zhao et al.   KNOWLEDGE-BASED SYSTEMS

Feature selection with test cost constraint

(2013) Fan Min et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

A maximum-margin genetic algorithm for misclassification cost minimizing feature selection problem

(2012) Parag C. Pendharkar   EXPERT SYSTEMS WITH APPLICATIONS

Minimum cost attribute reduction in decision-theoretic rough set models

(2012) Xiuyi Jia et al.   INFORMATION SCIENCES

An efficient rough feature selection algorithm with a multi-granulation view

(2012) Jiye Liang et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Test-cost-sensitive attribute reduction

(2011) Fan Min et al.   INFORMATION SCIENCES

The CASH algorithm-cost-sensitive attribute selection using histograms

(2011) Yael Weiss et al.   INFORMATION SCIENCES

Uncertainty measurement for interval-valued decision systems based on extended conditional entropy

(2011) Jianhua Dai et al.   KNOWLEDGE-BASED SYSTEMS

Handling over-fitting in test cost-sensitive decision tree learning by feature selection, smoothing and pruning

(2010) Tao Wang et al.   JOURNAL OF SYSTEMS AND SOFTWARE

A novel hybrid feature selection via Symmetrical Uncertainty ranking based local memetic search algorithm

(2010) S. Senthamarai Kannan et al.   KNOWLEDGE-BASED SYSTEMS

Selecting Discrete and Continuous Features Based on Neighborhood Decision Error Minimization

(2009) Qinghua Hu et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Neighborhood rough set based heterogeneous feature subset selection

(2008) Qinghua Hu et al.   INFORMATION SCIENCES

Attribute reduction in decision-theoretic rough set models

(2008) Yiyu Yao et al.   INFORMATION SCIENCES

A comparison of two types of rough sets induced by coverings

(2008) Guilong Liu et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING