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Intelligent Systems Reference Library

Outlier Detection: Techniques and Applications

A Data Mining Perspective

Authors: Ranga Suri, N. N. R., Murty, Narasimha, Athithan, G.

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  • Provides a comprehensive survey of the outlier detection problem including a list of issues, challenges and relevant literature
  • Presents the latest methods for outlier detection with a special focus on categorical data
  • Employs outlier detection principles in contemporary applications such as anomaly detection in network data and characterizing temporal anomalies/outliers in dynamic social networks
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eBook $129.00
price for USA in USD (gross)
  • ISBN 978-3-030-05127-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-3-030-05125-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book, drawing on recent literature, highlights several methodologies for the detection of outliers and explains how to apply them to solve several interesting real-life problems. The detection of objects that deviate from the norm in a data set is an essential task in data mining due to its significance in many contemporary applications. More specifically, the detection of fraud in e-commerce transactions and discovering anomalies in network data have become prominent tasks, given recent developments in the field of information and communication technologies and security. Accordingly, the book sheds light on specific state-of-the-art algorithmic approaches such as the community-based analysis of networks and characterization of temporal outliers present in dynamic networks. It offers a valuable resource for young researchers working in data mining, helping them understand the technical depth of the outlier detection problem and devise innovative solutions to address related challenges.  


Table of contents (11 chapters)

Table of contents (11 chapters)

Buy this book

eBook $129.00
price for USA in USD (gross)
  • ISBN 978-3-030-05127-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-3-030-05125-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Outlier Detection: Techniques and Applications
Book Subtitle
A Data Mining Perspective
Authors
Series Title
Intelligent Systems Reference Library
Series Volume
155
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-05127-3
DOI
10.1007/978-3-030-05127-3
Hardcover ISBN
978-3-030-05125-9
Series ISSN
1868-4394
Edition Number
1
Number of Pages
XXII, 214
Number of Illustrations
45 b/w illustrations, 3 illustrations in colour
Topics