Learning with supervised data for anomaly detection in smart manufacturing.
Meiling HeMatthew E. H. PeteringPhillip M. LaCasseWilkistar OtienoFrancisco P. MaturanaPublished in: Int. J. Comput. Integr. Manuf. (2023)
Keyphrases
- anomaly detection
- data sets
- unsupervised learning
- learning algorithm
- data processing
- input data
- supervised learning
- data analysis
- data sources
- semi supervised
- object recognition
- training data
- intrusion detection
- detecting anomalous
- connectionist systems
- data streams
- reinforcement learning
- bayesian networks
- network traffic
- network intrusion detection
- behavior analysis
- network intrusion