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ANOMALY DETECTION PRINCIPLES AND ALGORITHMS IBD

CHILUKURI K MOHAN / CHILUKURI KMOHAN / HUAM
SPRINGER
01 / 2018
9783319675244
Anglès

Sinopsi

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 numberáof algorithms are succinctly described, along with a presentation of theirástrengths and weaknesses.The authors also cover algorithms that addressádifferent kinds of problems of interest with single and multiple time seriesádata and multi-dimensional data. New ensemble anomaly detectionáalgorithms areá described, utilizing the benefits provided by diverseáalgorithms, each of which work well on some kinds of data.áWith advancements in technology and the extensive use of the internet asáa medium for communications and commerce, there has been aátremendous increase in the threats faced by individuals and organizationsáfrom attackers and criminal entities. Variations in the observable behaviorsáof individuals (from others and from their own past behaviors) have beenáfound to be useful in predicting potential problems of various kinds. Henceácomputer scientists and statisticians have been conducting research on automatically identifying anomalies in large datasets. áThis 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.

PVP
171,63€