Anomaly Detection Principles and Algorithms

• Κύριοι συγγραφείς: Mehrotra, Kishan G. (Συγγραφέας), Mohan, Chilukuri K. (Συγγραφέας), Huang, HuaMing (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Terrorism, Security, and Computation,
• Θέματα: 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...

Πίνακας περιεχομένων:

• 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.