Physics-Informed Machine Learning for Data Anomaly Detection, Classification, Localization, and Mitigation: A Review, Challenges, and Path Forward.
Mehdi Jabbari ZidehParoma ChatterjeeAnurag K. SrivastavaPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- machine learning
- data sets
- decision trees
- intrusion detection
- pattern recognition
- training data
- data analysis
- clustering analysis
- knowledge discovery
- pairwise
- data mining methods
- data processing
- supervised learning
- feature selection
- anomalous behavior
- behavior analysis
- input data
- normal behavior
- network traffic
- unsupervised learning
- text classification
- data mining
- real world