Machine Learning and Synthetic Minority Oversampling Techniques for Imbalanced Data: Improving Machine Failure Prediction
Yap Bee Wah, Azlan Ismail, Nur Niswah Naslina Azid, Jafreezal Jaafar, Izzatdin Abdul Aziz, Mohd Hilmi Hasan, Jasni Mohamad Zain
2023Computers, materials & continua/Computers, materials & continua (Print)13 citationsDOIOpen Access PDF
Abstract
Prediction of machine failure is challenging as the dataset is often imbalanced with a low failure rate. The common approach to handle classification involving imbalanced data is to balance the data using a sampling approach ... | Find, read and cite all the research you need on Tech Science Press
Topics & Concepts
OversamplingSupport vector machineUndersamplingNaive Bayes classifierArtificial intelligenceMachine learningComputer scienceRandom forestSensitivity (control systems)Test dataPattern recognition (psychology)Data miningEngineeringBandwidth (computing)Programming languageElectronic engineeringComputer networkImbalanced Data Classification TechniquesElectricity Theft Detection TechniquesFinancial Distress and Bankruptcy Prediction