Machine learning approaches for anomaly detection of water quality on a real-world data set.
Fitore MuharemiDoina LogofatuFlorin LeonPublished in: J. Inf. Telecommun. (2019)
Keyphrases
- machine learning approaches
- anomaly detection
- water quality
- intrusion detection
- water treatment
- machine learning methods
- anomalous behavior
- machine learning
- detecting anomalies
- network intrusion detection
- measured data
- network traffic
- water resources
- detect anomalies
- one class support vector machines
- network security
- machine learning algorithms
- network anomaly detection
- detecting anomalous
- network intrusion
- negative selection algorithm
- unsupervised anomaly detection
- cumulative sum
- intrusion detection system
- data mining methods
- connectionist systems
- neural network