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

Yap Bee Wah1,5,*, Azlan Ismail1,2, Nur Niswah Naslina Azid3, Jafreezal Jaafar4, Izzatdin Abdul Aziz4, Mohd Hilmi Hasan4, Jasni Mohamad Zain1,2

1 Institute for Big Data Analytics and Artificial Intelligence (IBDAAI), Kompleks Al-Khawarizmi, Universiti Teknologi MARA (UiTM), Shah Alam, 40450, Selangor, Malaysia
2 School of Computing Sciences, College of Computing, Informatics and Media,Universiti Teknologi MARA (UiTM), 40450, Shah Alam, Selangor, Malaysia
3 Mathematical Sciences Studies, College of Computing, Informatics and Media, Universiti Teknologi MARA (UiTM) Kelantan Branch, Machang Campus, Bukit Ilmu, 18500, Machang, Kelantan Darul Naim, Malaysia
4 Centre for Research in Data Science (CeRDaS), Department of Computer and Information Sciences (DCIS), Universiti Teknologi PETRONAS (UTP), Seri Iskandar, 32610, Perak, Malaysia
5 UNITAR International University, Jalan SS6/3, SS6, Petaling Jaya, 47301, Selangor, Malaysia

* Corresponding Author: Yap Bee Wah. Email: email

TSP_CMC_34470.pdf

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