Terrorism, Security, and Computation

Anomaly Detection Principles and Algorithms

Authors: Mehrotra, Kishan G., Mohan, Chilukuri, Huang, Huaming

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  • Presents new algorithms for static and time series datasets
  • Introduces new ensemble methods for improved anomaly detection
  • Covers rank-based anomaly detection algorithms
  • Discusses the pros and cons of various approaches used for anomaly detection
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eBook 79,72 €
price for Spain (gross)
  • ISBN 978-3-319-67526-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 98,79 €
price for Spain (gross)
  • ISBN 978-3-319-67524-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 98,79 €
price for Spain (gross)
  • Due: February 8, 2019
  • ISBN 978-3-319-88445-5
  • Free shipping for individuals worldwide
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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 own 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.

Table of contents (9 chapters)

  • Introduction

    Mehrotra, Kishan G. (et al.)

    Pages 3-19

    Preview Buy Chapter 30,19 €
  • Anomaly Detection

    Mehrotra, Kishan G. (et al.)

    Pages 21-32

    Preview Buy Chapter 30,19 €
  • Distance-Based Anomaly Detection Approaches

    Mehrotra, Kishan G. (et al.)

    Pages 33-39

    Preview Buy Chapter 30,19 €
  • Clustering-Based Anomaly Detection Approaches

    Mehrotra, Kishan G. (et al.)

    Pages 41-55

    Preview Buy Chapter 30,19 €
  • Model-Based Anomaly Detection Approaches

    Mehrotra, Kishan G. (et al.)

    Pages 57-94

    Preview Buy Chapter 30,19 €

Buy this book

eBook 79,72 €
price for Spain (gross)
  • ISBN 978-3-319-67526-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 98,79 €
price for Spain (gross)
  • ISBN 978-3-319-67524-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 98,79 €
price for Spain (gross)
  • Due: February 8, 2019
  • ISBN 978-3-319-88445-5
  • Free shipping for individuals worldwide
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Anomaly Detection Principles and Algorithms
Authors
Series Title
Terrorism, Security, and Computation
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-67526-8
DOI
10.1007/978-3-319-67526-8
Hardcover ISBN
978-3-319-67524-4
Softcover ISBN
978-3-319-88445-5
Series ISSN
2197-8778
Edition Number
1
Number of Pages
XXII, 217
Number of Illustrations
11 b/w illustrations, 55 illustrations in colour
Topics