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Více informací o knize Anomaly Detection Principles and Algorithms

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Anotace knihy

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 algorithms that address different kinds of problems of interest with single and multiple time series data and multi-dimensional data. New ensemble anomaly detection algorithms are described, utilizing the benefits provided by diverse algorithms, each of which work well on some kinds of data. With advancements in technology and the extensive use of the internet as a medium for communications and commerce, there has been a tremendous increase in the threats faced by individuals and organizations from attackers and criminal entities. Variations in the observable behaviors of individuals (from others and from their o wn p ast behaviors) have been found to be useful in predicting potential problems of various kin ds. Hence computer scientists and statisticians have been conducting research on automatically identifying anomalies in large datasets. This book will primarily target practitioners and researchers who are newcomers to the area of modern anomaly detection techniques. Advanced-level students in computer science will also find this book helpful with their studies.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Anomaly Detection Principles and Algorithms
• Autor: Huaming Huang, Kishan G. Mehrotra, Chilukuri K. Mohan
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 217
• EAN: 9783319675244
• ISBN: 3319675249
• ID: 17963677
• Nakladatelství: Springer International Publishing AG
• Hmotnost: 480 g
• Rozměry: 164 × 241 × 24 mm
• Datum vydání: 25. January 2018

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