Prediction of Maintenance Equipment Failures Using Automated Machine Learning.
Luís FerreiraAndré Luiz PilastriVítor SousaFilipe RomanoPaulo CortezPublished in: IDEAL (2021)
Keyphrases
- machine learning
- prediction accuracy
- prediction model
- recursive neural networks
- machine learning methods
- knowledge acquisition
- semi automated
- prediction error
- prediction algorithm
- repair actions
- pattern recognition
- active learning
- supervised learning
- learning algorithm
- predictive modeling
- knowledge representation
- feature selection
- failure diagnosis
- data analysis
- computational intelligence
- natural language processing
- failure detection
- automated analysis
- protein secondary structure prediction
- machine learning and data mining
- regression model
- computational biology
- learning tasks
- transfer learning
- data mining
- text classification
- text mining
- natural language
- decision trees
- artificial intelligence