Machine Learning and Synthetic Minority Oversampling Techniques for Imbalanced Data: Improving Machine Failure Prediction.

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Main Authors: Wah, Yap Bee, Ismail, Azlan, Azid, Naslina, Niswah, Nur, Jaafar, Jafreezal, Aziz, Izzatdin Abdul, Hasan, Mohd Hilmi, Zain, Jasni Mohamad
Format: Article
Published: 2023
Online Access:http://scholars.utp.edu.my/id/eprint/37019/
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spelling oai:scholars.utp.edu.my:370192023-09-06T04:32:30Z http://scholars.utp.edu.my/id/eprint/37019/ Machine Learning and Synthetic Minority Oversampling Techniques for Imbalanced Data: Improving Machine Failure Prediction. Wah, Yap Bee Ismail, Azlan Azid, Naslina Niswah, Nur Jaafar, Jafreezal Aziz, Izzatdin Abdul Hasan, Mohd Hilmi Zain, Jasni Mohamad 2023 Article NonPeerReviewed Wah, Yap Bee and Ismail, Azlan and Azid, Naslina and Niswah, Nur and Jaafar, Jafreezal and Aziz, Izzatdin Abdul and Hasan, Mohd Hilmi and Zain, Jasni Mohamad (2023) Machine Learning and Synthetic Minority Oversampling Techniques for Imbalanced Data: Improving Machine Failure Prediction. Computers, Materials & Continua, 75 (3).
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
format Article
author Wah, Yap Bee
Ismail, Azlan
Azid, Naslina
Niswah, Nur
Jaafar, Jafreezal
Aziz, Izzatdin Abdul
Hasan, Mohd Hilmi
Zain, Jasni Mohamad
spellingShingle Wah, Yap Bee
Ismail, Azlan
Azid, Naslina
Niswah, Nur
Jaafar, Jafreezal
Aziz, Izzatdin Abdul
Hasan, Mohd Hilmi
Zain, Jasni Mohamad
Machine Learning and Synthetic Minority Oversampling Techniques for Imbalanced Data: Improving Machine Failure Prediction.
author_facet Wah, Yap Bee
Ismail, Azlan
Azid, Naslina
Niswah, Nur
Jaafar, Jafreezal
Aziz, Izzatdin Abdul
Hasan, Mohd Hilmi
Zain, Jasni Mohamad
author_sort Wah, Yap Bee
title Machine Learning and Synthetic Minority Oversampling Techniques for Imbalanced Data: Improving Machine Failure Prediction.
title_short Machine Learning and Synthetic Minority Oversampling Techniques for Imbalanced Data: Improving Machine Failure Prediction.
title_full Machine Learning and Synthetic Minority Oversampling Techniques for Imbalanced Data: Improving Machine Failure Prediction.
title_fullStr Machine Learning and Synthetic Minority Oversampling Techniques for Imbalanced Data: Improving Machine Failure Prediction.
title_full_unstemmed Machine Learning and Synthetic Minority Oversampling Techniques for Imbalanced Data: Improving Machine Failure Prediction.
title_sort machine learning and synthetic minority oversampling techniques for imbalanced data: improving machine failure prediction.
publishDate 2023
url http://scholars.utp.edu.my/id/eprint/37019/
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score 13.214268