SpringerBriefs in Computer Science

Event-Driven Surveillance

Possibilities and Challenges

Authors: Denecke, Kerstin

  • Explains how to exploit public unstructured data on the Web, e.g. Twitter, blogs, chat forums, etc.
  • Combines elements from data mining, information retrieval, and natural language processing
  • Delivers the first survey of an exciting and growing research area
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eBook $29.99
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  • ISBN 978-3-642-28135-8
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Softcover $39.95
price for USA
  • ISBN 978-3-642-28134-1
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About this book

The Web has become a rich source of personal information in the last few years. People twitter, blog, and chat online. Current feelings, experiences or latest news are posted. For instance, first hints to disease outbreaks, customer preferences, or political changes could be identified with this data.

Surveillance or early warning systems enable such detection of changes and support humans in getting information on changing situations. However, the variety of data that could be considered for surveillance is immense, ranging from sensor-measured values to collected counts and information extracted from natural language documents.

Denecke’s objective is to introduce the multiple possibilities and facets of surveillance and its applications. She first introduces the task of surveillance and provides an overview on surveillance in various domains. Next, the various information sources that are available and could already be used by surveillance systems are summarized. In the main part of the book, her focus is on unstructured data as a source for surveillance. An overview on existing methods as well as methods to be developed in order to process this kind of data with respect to surveillance is presented. As an example application, she introduces disease surveillance using Web 2.0, including corresponding methods and challenges to be addressed. The book closes with remarks on new possibilities for surveillance gained by recent developments of the Internet and mobile communication, and with an outline of future challenges.

About the authors

Dr. Kerstin Denecke works as a researcher with the L3S Research Center in Hannover, Germany. Her research interests are in natural language processing in general and include information extraction, knowledge retrieval, sentiment analysis and data mining. In 2010, she took over the management of the EU-funded project M-Eco: Personalized Event-based Surveillance.

Table of contents (6 chapters)

Buy this book

eBook $29.99
price for USA
  • ISBN 978-3-642-28135-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Softcover $39.95
price for USA
  • ISBN 978-3-642-28134-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Event-Driven Surveillance
Book Subtitle
Possibilities and Challenges
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2012
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
The Author(s)
eBook ISBN
978-3-642-28135-8
DOI
10.1007/978-3-642-28135-8
Softcover ISBN
978-3-642-28134-1
Series ISSN
2191-5768
Edition Number
1
Number of Pages
X, 76
Topics