Event-Driven Surveillance: Possibilities and Challenges - Taschenbuch

EAN (ISBN-13): 9783642281341
ISBN (ISBN-10): 3642281346
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2012
Herausgeber: Springer
76 Seiten
Gewicht: 0,321 kg
Sprache: Englisch

Buch in der Datenbank seit 2007-06-10T09:46:57+02:00 (Berlin)
Detailseite zuletzt geändert am 2023-07-23T07:27:41+02:00 (Berlin)
ISBN/EAN: 9783642281341

ISBN - alternative Schreibweisen:
3-642-28134-6, 978-3-642-28134-1
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: denecke, kerstin
Titel des Buches: event, driven, surveillance, kerstin

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Daten vom Verlag:

Autor/in: Kerstin Denecke
Titel: SpringerBriefs in Computer Science; Event-Driven Surveillance - Possibilities and Challenges
Verlag: Springer; Springer Berlin
76 Seiten
Erscheinungsjahr: 2012-02-23
Berlin; Heidelberg; DE
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
X, 76 p.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Data Mining; Verstehen; Data Mining; Event Detection; Information Retrieval; Pattern Recognition; Sensor Data; Social Media Analysis; Stream Data Management; Text Processing; Twitter; Data Mining and Knowledge Discovery; Information Storage and Retrieval; Natural Language Processing (NLP); Automated Pattern Recognition; Artificial Intelligence; Wissensbasierte Systeme, Expertensysteme; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Natürliche Sprachen und maschinelle Übersetzung; Mustererkennung; Künstliche Intelligenz; EA

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.
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 Includes supplementary material: sn.pub/extras