Anomaly detection principles and algorithms. (2017)

• Record Type: Book
• Further Information: Note: Kishan G. Mehrotra, Chilukuri K. Mohan, HuaMing Huang.
• Authors: Mehrotra, Kishan; Mohan, Chilukuri K; Huang, Huaming
• 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.
• Publisher Details: Cham : Springer
• Publication Date: 2017
• Copyright Date: 2017
• Extent: 1 online resource (217 pages)
• Subjects: 005.8; Computer science; Anomaly detection (Computer security); Anomaly detection (Computer security); Computers -- Computer Vision & Pattern Recognition; Computers -- Security -- General; Pattern recognition; Computer security; Data mining; Optical pattern recognition; Data protection; Computers -- Database Management -- Data Mining; Data mining
• Languages: English
• ISBNs: 9783319675268
• Related ISBNs: 9783319675244
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.