Attribute selection for heterogeneous data based on information entropy-Reference-Cited by-同舟云学术

Attribute selection for heterogeneous data based on information entropy

Published:2021-05-03 Issue:5 Volume:50 Page:548-566
ISSN:0308-1079
Container-title:International Journal of General Systems
language:en
Short-container-title:International Journal of General Systems

Author:

Li Zhaowen¹,Qu Liangdong²,Zhang Gangqiang²,Xie Ningxin²

Affiliation:

1. Key Laboratory of Complex System Optimization and Big Data Processing in Department of Guangxi Education, Yulin Normal University, Yulin, People's Republic of China

2. School of Artificial Intelligence, Guangxi University for Nationalities, Nanning, People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Computer Science Applications,Modeling and Simulation,Information Systems,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/03081079.2021.1919101

Reference30 articles.

1. Information-theoretic measures of uncertainty for rough sets and rough relational databases

2. Sequential covering rule induction algorithm for variable consistency rough set approaches

3. Three-way decision reduction in neighborhood systems

4. Entropy measures and granularity measures for set-valued information systems

5. Attribute selection based on information gain ratio in fuzzy rough set theory with application to tumor classification

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