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Titlebook: Event-Driven Surveillance; Possibilities and Ch Kerstin Denecke Book 2012 The Author(s) 2012 Data Mining.Event Detection.Information Retrie

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發(fā)表于 2025-3-21 17:21:20 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Event-Driven Surveillance
副標(biāo)題Possibilities and Ch
編輯Kerstin Denecke
視頻videohttp://file.papertrans.cn/318/317418/317418.mp4
概述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
叢書名稱SpringerBriefs in Computer Science
圖書封面Titlebook: Event-Driven Surveillance; Possibilities and Ch Kerstin Denecke Book 2012 The Author(s) 2012 Data Mining.Event Detection.Information Retrie
描述.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 sur
出版日期Book 2012
關(guān)鍵詞Data Mining; Event Detection; Information Retrieval; Pattern Recognition; Sensor Data; Social Media Analy
版次1
doihttps://doi.org/10.1007/978-3-642-28135-8
isbn_softcover978-3-642-28134-1
isbn_ebook978-3-642-28135-8Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightThe Author(s) 2012
The information of publication is updating

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發(fā)表于 2025-3-21 21:51:00 | 只看該作者
https://doi.org/10.1007/978-1-4615-8678-4le sources of information is given. Collected data can be structured or unstructured. This book focusses on the processing and surveillance based on unstructured data. For completeness reasons, a brief overview on sources for structured data is provided in this section.
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發(fā)表于 2025-3-22 02:58:02 | 只看該作者
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發(fā)表于 2025-3-22 05:49:07 | 只看該作者
Book 2012or 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,
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發(fā)表于 2025-3-23 04:19:14 | 只看該作者
The Task of Surveillance,nitors the complete life of its members. However, doing surveillance is often crucial to survive: Even zebras on the savannah are doing surveillance when they sense and respond to the opportunity of a water hole or the threat of a lion.
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發(fā)表于 2025-3-23 09:04:53 | 只看該作者
An Example: Disease Surveillancefrom Web 2.0,is chapter, the architecture of a possible disease surveillance system is described that exploits Web data as information source. We refer to it as .. It serves as an example to demonstrate the nature of event-driven surveillance systems.
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