Event-Driven Surveillance: Possibilities and Challenges - edizione con copertina flessibile

EAN (ISBN-13): 9783642281341
ISBN (ISBN-10): 3642281346
Copertina rigida
Copertina flessibile
Anno di pubblicazione: 2012
Editore: Springer
76 Pagine
Peso: 0,321 kg
Lingua: Englisch

Libro nella banca dati dal 2007-06-10T09:46:57+02:00 (Zurich)
Pagina di dettaglio ultima modifica in 2023-07-23T07:27:41+02:00 (Zurich)
ISBN/EAN: 3642281346

ISBN - Stili di scrittura alternativi:
3-642-28134-6, 978-3-642-28134-1
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : denecke, kerstin
Titolo del libro: event, driven, surveillance, kerstin

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Dati dell'editore

Autore: Kerstin Denecke
Titolo: SpringerBriefs in Computer Science; Event-Driven Surveillance - Possibilities and Challenges
Editore: Springer; Springer Berlin
76 Pagine
Anno di pubblicazione: 2012-02-23
Berlin; Heidelberg; DE
Stampato / Fatto in
Lingua: Inglese
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