Anomaly detection principles and algorithms
This book provides a readable and elegant presentation of the principles of anomaly detection, providing an easy introduction for newcomers to the field. A large number of algorithms are succinctly described, along with a presentation of their strengths and weaknesses. The authors also cover algorit...
| Main Author: | Mehrotra, Kishan G. |
|---|---|
| Other Authors: | Mohan, Chilukuri K., Huang, Huaming., SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer,
2017.
Cham : 2017. |
| Physical Description: |
1 online resource (229 pages). |
| Series: |
Terrorism, security, and computation.
|
| Subjects: |
Table of Contents:
- 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.