Anomaly Detection in Univariate Time Series: An Empirical Comparison of Machine Learning Algorithms.
Sina DäubenerSebastian SchmittHao WangPeter KrauseThomas BäckPublished in: ICDM (2019)
Keyphrases
- machine learning algorithms
- anomaly detection
- multivariate time series
- detect anomalies
- intrusion detection
- benchmark data sets
- decision trees
- learning algorithm
- machine learning
- machine learning methods
- learning problems
- detecting anomalies
- network intrusion detection
- learning tasks
- anomalous behavior
- network anomaly detection
- detecting anomalous
- machine learning approaches
- intrusion detection system
- network traffic
- one class support vector machines
- standard machine learning algorithms
- machine learning models
- statistical machine learning
- negative selection algorithm
- unsupervised learning
- machine learning and data mining algorithms