MI-MOTE: Multiple imputation-based minority oversampling technique for imbalanced and incomplete data classification-Reference-Cited by-同舟云学术

MI-MOTE: Multiple imputation-based minority oversampling technique for imbalanced and incomplete data classification

Published:2021-10 Issue: Volume:575 Page:80-89
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Shin Kyoham,Han Jongmin,Kang Seokho

Funder

Korea Institute for Advancement of Technology

National Research Foundation of Korea

Ministry of Trade, Industry and Energy

Ministry of Science and ICT, South Korea

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

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

Reference30 articles.

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