Terrorism, Security, and Computation- Anomaly Detection Principles and Algorithms

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  • Engels
  • Paperback
  • 9783319884455
  • 06 juni 2019
  • 217 pagina's
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Samenvatting

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 theirown past behaviors) have been found to be useful in predicting potential problems of various kinds. 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.

Productspecificaties

Inhoud

Taal
en
Bindwijze
Paperback
Oorspronkelijke releasedatum
06 juni 2019
Aantal pagina's
217
Illustraties
Nee

Betrokkenen

Hoofdauteur
Kishan G. Mehrotra
Tweede Auteur
Chilukuri K. Mohan
Co Auteur
Huaming Huang

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Editie
Softcover reprint of the original 1st ed. 2017
Extra groot lettertype
Nee
Product breedte
155 mm
Product lengte
235 mm
Studieboek
Nee
Verpakking breedte
155 mm
Verpakking hoogte
235 mm
Verpakking lengte
235 mm
Verpakkingsgewicht
454 g

EAN

EAN
9783319884455
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