Event-Driven Surveillance: Possibilities and Challenges - pocketboek

EAN (ISBN-13): 9783642281341
ISBN (ISBN-10): 3642281346
Gebonden uitgave
pocket book
Verschijningsjaar: 2012
Uitgever: Springer
76 Bladzijden
Gewicht: 0,321 kg
Taal: Englisch

Boek bevindt zich in het datenbestand sinds 2007-06-10T09:46:57+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2023-07-23T07:27:41+02:00 (Amsterdam)
ISBN/EAN: 3642281346

ISBN - alternatieve schrijfwijzen:
3-642-28134-6, 978-3-642-28134-1
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: denecke, kerstin
Titel van het boek: event, driven, surveillance, kerstin

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Gegevens van de uitgever

Auteur: Kerstin Denecke
Titel: SpringerBriefs in Computer Science; Event-Driven Surveillance - Possibilities and Challenges
Uitgeverij: Springer; Springer Berlin
76 Bladzijden
Verschijningsjaar: 2012-02-23
Berlin; Heidelberg; DE
Gedrukt / Gemaakt in
Taal: Engels
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