Predictive and Explainable Machine Learning for Industrial Internet of Things Applications.
Ioannis T. ChristouNikos KefalakisAndreas ZalonisJohn SoldatosPublished in: DCOSS (2020)
Keyphrases
- machine learning
- machine learning methods
- industrial applications
- machine learning algorithms
- pattern recognition
- artificial intelligence
- mobile devices
- predictive modeling
- decision trees
- knowledge acquisition
- physical world
- machine learning approaches
- machine learning and data mining
- knowledge representation
- support vector machine
- learning systems
- supervised learning
- key technologies
- ubiquitous computing
- inductive learning
- industrial environment
- learning tasks
- natural language processing
- real time
- active learning
- computer science
- case study
- feature selection
- learning algorithm
- genetic algorithm
- data mining