Anomaly Detection Principles and Algorithms

• Main Authors: Mehrotra, Kishan G. (Author), Mohan, Chilukuri K. (Author), Huang, HuaMing (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Terrorism, Security, and Computation,
• Subjects: Computer science.; Data mining.; Pattern recognition.; Computer Science.; Data Mining and Knowledge Discovery.; Pattern Recognition.; Security.

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 algorith...

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.