Machine learning and transport simulations for groundwater anomaly detection.
Jiangguo LiuJianli GuHuishu LiKenneth H. CarlsonPublished in: J. Comput. Appl. Math. (2020)
Keyphrases
- anomaly detection
- machine learning
- network anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- unsupervised learning
- network traffic
- behavior analysis
- pattern recognition
- detect anomalies
- intrusion detection system
- one class support vector machines
- cumulative sum
- natural language processing
- computer security
- negative selection algorithm
- detecting anomalous
- unsupervised anomaly detection
- decision trees
- learning algorithm
- information extraction
- text classification
- simulation model
- network security
- reinforcement learning
- computer vision
- data mining
- neural network
- data sets
- computational intelligence
- support vector machine
- data analysis
- object recognition