Detecting Anomalies in Embedded Computing Systems via a Novel HMM-Based Machine Learning Approach.
Alfredo CuzzocreaEric MedvetEnzo MumoloRiccardo CecolinPublished in: HAIS (2015)
Keyphrases
- computing systems
- detecting anomalies
- machine learning
- anomaly detection
- computer systems
- computing technologies
- hidden markov models
- data mining applications
- abnormal events
- computing platform
- parallel computing
- pattern recognition
- high end
- autonomic computing systems
- data mining
- data analysis
- model selection
- software developers
- autonomic computing
- learning algorithm
- case study
- artificial intelligence
- text mining
- open source
- supervised learning
- active learning
- data model
- reinforcement learning