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Event-Driven Surveillance: Possibilities and Challenges (Springerbriefs in Computer Science)

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Event-Driven Surveillance: Possibilities and Challenges (Springerbriefs in Computer Science) Cover

 

Synopses & Reviews

Publisher Comments:

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 Author

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

Product Details

ISBN:
9783642281341
Author:
Denecke, Kerstin
Publisher:
Springer
Subject:
Data mining
Subject:
Event Detection
Subject:
Information retrieval
Subject:
Pattern recognition.
Subject:
sensor data
Subject:
Social Media Analysis
Subject:
Stream data management
Subject:
Text processing
Subject:
Twitter
Subject:
Data Mining and Knowledge Discovery
Subject:
Information storage and retrieval.
Subject:
Document Preparation and Text Processing
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Computers-Reference - General
Copyright:
Edition Description:
2012
Series:
SpringerBriefs in Computer Science
Publication Date:
20120329
Binding:
TRADE PAPER
Language:
English
Pages:
86
Dimensions:
235 x 155 mm

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
Computers and Internet » Internet » Information
Science and Mathematics » Physics » Nuclear
Travel » General

Event-Driven Surveillance: Possibilities and Challenges (Springerbriefs in Computer Science) New Hardcover
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