Event-Driven Surveillance: Possibilities and Challenges - Livro de bolso

EAN (ISBN-13): 9783642281341
ISBN (ISBN-10): 3642281346
Livro de capa dura
Livro de bolso
Ano de publicação: 2012
Editor/Editora: Springer
76 Páginas
Peso: 0,321 kg
Língua: Englisch

Livro na base de dados desde 2007-06-10T04:46:57-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2023-07-23T02:27:41-03:00 (Sao Paulo)
Número ISBN/EAN: 9783642281341

Número ISBN - Ortografia alternativa:
3-642-28134-6, 978-3-642-28134-1
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: denecke, kerstin
Título do livro: event, driven, surveillance, kerstin

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Dados da editora

Autor: Kerstin Denecke
Título: SpringerBriefs in Computer Science; Event-Driven Surveillance - Possibilities and Challenges
Editora: Springer; Springer Berlin
76 Páginas
Ano de publicação: 2012-02-23
Berlin; Heidelberg; DE
Impresso / Feito em
Língua: Inglês
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