Anomaly Detection Principles and Algorithms

Presents new algorithms for static and time series datasets

Introduces new ensemble methods for improved anomaly detection

Covers rank-based anomaly detection algorithms

Discusses the pros and cons of various approaches used for anomaly detection

Presents new algorithms for static and time series datasets Introduces new ensemble methods for improved anomaly detection Covers rank-based anomaly detection algorithms Discusses the pros and cons of various approaches used for anomaly detection

Contenu
1 Introduction.- 2 Anomaly Detection.- 3 Distance-based Anomaly Detection Approaches.- 4 Clustering-based Anomaly Detection Approaches.- 5 Model-based Anomaly Detection Approaches.- 6 Distance and Density Based Approaches.- 7 Rank Based Approaches.- 8 Ensemble Methods.- 9 Algorithms for Time Series Data.- Datasets for Evaluation.- Datasets for Time Series Experiments.