Missing Value Imputation Designs and Methods of Nature-Inspired Metaheuristic Techniques: A Systematic Review-Reference-Cited by-同舟云学术

Missing Value Imputation Designs and Methods of Nature-Inspired Metaheuristic Techniques: A Systematic Review

Published:2022 Issue: Volume:10 Page:61544-61566
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Chiu Po Chan¹^ORCID,Selamat Ali¹^ORCID,Krejcar Ondrej²^ORCID,Kuok King Kuok³^ORCID,Bujang Siti Dianah Abdul²,Fujita Hamido²

Affiliation:

1. School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia

2. Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Kuala Lumpur, Jalan Sultan Yahya Petra, Kuala Lumpur, Malaysia

3. Faculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak Campus, Kuching, Sarawak, Malaysia

Funder

Ministry of Higher Education Malaysia for the Fundamental Research Grant Scheme

Malaysia Research University Network

SPEV Project through the Faculty of Informatics and Management, University of Hradec Králové, Czech Republic, “Smart Solutions in Ubiquitous Computing Environments”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09771309.pdf?arnumber=9771309

Reference80 articles.

1. Predicting Survival From Large Echocardiography and Electronic Health Record Datasets

2. A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients

3. A Survey of Automatic Parameter Tuning Methods for Metaheuristics

4. A beginner's guide to tuning methods

5. Algal wastewater treatment systems for seasonal climates: Application of a simple modelling approach to generate local and regional design guidelines

Cited by 2 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. EvoImp: Multiple Imputation of Multi-label Classification data with a genetic algorithm;PLOS ONE;2024-01-19

2. Asphaltene Precipitation Prediction during Bitumen Recovery: Experimental Approach versus Population Balance and Connectionist Models;ACS Omega;2022-09-09