Knowledge granularity reduction for decision tables-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Knowledge granularity reduction for decision tables

Published:2021-01-14 Issue: Volume: Page:
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Liu Guilong^ORCID,Feng Yanbin

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/content/pdf/10.1007/s13042-020-01254-9.pdf

Reference39 articles.

1. Pawlak Z (1982) Rough sets. Int J Comput Inform Sci 11(5):341–356

2. Pawlak Z, Rough S (1991) Theoretical aspects of reasoning about data. Kluwer, Boston

3. Dong L, Chen D (2020) Incremental attribute reduction with rough set for dynamic datasets with simultaneously increasing samples and attributes. Int J Mach Learn Cybern 11:1339–1355

4. Liu K, Yang X, Fujita H, Liu D, Yang X, Yuhua Q (2019) An efficient selector for multi-granularity attribute reduction. Inf Sci 505:457–472

5. Lang G, Li Q, Cai M, Fujita H, Zhang H (2019) Related families-based methods for updating reducts under dynamic object sets. Knowl Inf Syst 60:1081–1104

Cited by 8 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. Attribute reduction for incomplete mixed data based on neighborhood information system;International Journal of General Systems;2023-09-12

3. Attribute Reduction of Object Granules of Concept Lattice Based on Three-Way Decision;2023 International Conference on Machine Learning and Cybernetics (ICMLC);2023-07-09

4. Topological reduction approaches for relation decision systems;International Journal of Approximate Reasoning;2023-06

5. New Variable Precision Reduction Algorithm for Decision Tables;IEEE Access;2023

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