Incremental mechanism of attribute reduction based on discernible relations for dynamically increasing attribute
Author:
Funder
Natioanl Key R&D Program of China
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-019-04511-4.pdf
Reference24 articles.
1. Benitez-Caballero MJ, Medina J, Ramirez-Poussa E, Slȩzak D (2018) Bireducts with tolerance relations. Inf Sci 435:26–39
2. Benitez-Caballero MJ, Medina J, Ramirez-Poussa E, Slezak D (2019) A computational procedure for variable selection preserving different initial conditions. Int J Comput Math. https://doi.org/10.1080/00207160.2019.1613530
3. Bien Z (2007) Incremental inductive learning algorithm in the framework of rough set theory and its application. Int J Fuzzy Syst 1(1):25–36
4. Chen D, Yang Y (2014) Attribute reduction for heterogeneous data based on the combination of classical and fuzzy rough set models. IEEE Trans Fuzzy Syst 22(5):1325–1334
5. Chen D, Zhao S, Zhang L, Yang Y, Zhang X (2012) Sample pair selection for attribute reduction with rough set. IEEE Trans Knowl Data Eng 24(11):2080–2093
Cited by 23 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. A group incremental feature selection based on knowledge granularity under the context of clustering;International Journal of Machine Learning and Cybernetics;2024-03-29
2. Incremental feature selection approach to multi-dimensional variation based on matrix dominance conditional entropy for ordered data set;Applied Intelligence;2024-03
3. Matrix-based feature selection approach using conditional entropy for ordered data set with time-evolving features;Knowledge-Based Systems;2023-11
4. Incremental feature selection based on uncertainty measure for dynamic interval-valued data;International Journal of Machine Learning and Cybernetics;2023-10-24
5. Incremental reduction methods based on granular ball neighborhood rough sets and attribute grouping;International Journal of Approximate Reasoning;2023-09
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