| 书目名称 | Event-Driven Surveillance | | 副标题 | Possibilities and Ch | | 编辑 | Kerstin Denecke | | 视频video | | | 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 | | 丛书名称 | SpringerBriefs in Computer Science | | 图书封面 |  | | 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 | | 关键词 | Data Mining; Event Detection; Information Retrieval; Pattern Recognition; Sensor Data; Social Media Analy | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-28135-8 | | isbn_softcover | 978-3-642-28134-1 | | isbn_ebook | 978-3-642-28135-8Series ISSN 2191-5768 Series E-ISSN 2191-5776 | | issn_series | 2191-5768 | | copyright | The Author(s) 2012 |
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发表于 2025-3-21 17:21:20
