Feature selection in mixed data: A method using a novel fuzzy rough set-based information entropy-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Feature selection in mixed data: A method using a novel fuzzy rough set-based information entropy

Published:2016-08 Issue: Volume:56 Page:1-15
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Zhang Xiao,Mei Changlin,Chen Degang,Li Jinhai

Funder

National Natural Science Foundation of China

PhD Research Startup Foundation of Xi׳an University of Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference64 articles.

1. On fuzzy-rough sets approach to feature selection;Bhatt;Pattern Recognit. Lett.,2005

2. Upper and lower approximations of fuzzy sets;Boixader;Int. J. Gen. Syst.,2000

3. Theory and Methods of Fuzzy Rough Sets;Chen,2013

4. Parameterized attribute reduction with Gaussian kernel based fuzzy rough sets;Chen;Inf. Sci.,2011

5. Attribute reduction for heterogeneous data based on combination of classical and fuzzy rough set models;Chen;IEEE Trans. Fuzzy Syst.,2014

Cited by 276 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Scalable data fusion via a scale-based hierarchical framework: Adapting to multi-source and multi-scale scenarios;Information Fusion;2025-02

2. Feature selection based on neighborhood complementary entropy for heterogeneous data;Information Sciences;2024-11

3. Consistency-guided semi-supervised outlier detection in heterogeneous data using fuzzy rough sets;Applied Soft Computing;2024-11

4. Consistency approximation: Incremental feature selection based on fuzzy rough set theory;Pattern Recognition;2024-11

5. A novel intuitionistic fuzzy rough instance selection and attribute reduction with kernelized intuitionistic fuzzy C-means clustering to handle imbalanced datasets;Expert Systems with Applications;2024-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3