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Attribute Selection Based on Reduction of Numerical Attributes During Discretization

2017
Some numerical attributes may be reduced during discretization. It happens when a discretized attribute has only one interval, i.e., the entire domain of a numerical attribute is mapped into a single interval. The problem is how such reduction of data sets affects the error rate measured by the C4.5 decision tree generation system using ten-fold cross ...
Jerzy W. GrzymaƂa-Busse, Teresa Mroczek
openaire   +1 more source

Fast and Robust Attribute Reduction Based on the Separability in Fuzzy Decision Systems

IEEE Transactions on Cybernetics, 2022
Yanting Guo, Weihua Xu, Eric C C Tsang
exaly  

A novel approach to attribute reduction based on weighted neighborhood rough sets

Knowledge-Based Systems, 2021
Eric C C Tsang, Yanting Guo, Degang Chen
exaly  

Unsupervised attribute reduction for mixed data based on fuzzy rough sets

Information Sciences, 2021
Zhong Yuan, Hongmei Chen, Zeng Yu
exaly  

Tri-level attribute reduction in rough set theory

Expert Systems With Applications, 2022
Xianyong Zhang, Yiyu Yao
exaly  

Parallel incremental efficient attribute reduction algorithm based on attribute tree

Information Sciences, 2022
Weiping Ding   +6 more
openaire   +1 more source

Opportunities and Strategies for Breast Cancer Prevention Through Risk Reduction

Ca-A Cancer Journal for Clinicians, 2008
Eleni Linos, Walter C. Willett
exaly  

Fuzzy rough set-based attribute reduction using distance measures

Knowledge-Based Systems, 2019
Changzhong Wang   +2 more
exaly  

Positive approximation: An accelerator for attribute reduction in rough set theory

Artificial Intelligence, 2010
Yuhua Qian, JiYe Liang, Witold Pedrycz
exaly  

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