Feature selection based on self-information combining double-quantitative class weights and three-order approximation accuracies in neighborhood rough sets-Reference-Cited by-同舟云学术

Feature selection based on self-information combining double-quantitative class weights and three-order approximation accuracies in neighborhood rough sets

Published:2024-02 Issue: Volume:657 Page:119945
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Jiang Jiefang^ORCID,Zhang Xianyong

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference51 articles.

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4. Binary horse herd optimization algorithm with crossover operators for feature selection;Awadallah;Comput. Biol. Med.,2022

5. Evoimputer: an evolutionary approach for missing data imputation and feature selection in the context of supervised learning;Awawdeh;Knowl.-Based Syst.,2022

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