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Generating Automated News to Explain the Meaning of Sensor Data

机译:生成自动化新闻以解释传感器数据的含义

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An important competence of human data analysts is to interpret and explain the meaning of the results of data analysis to end-users. However, existing automatic solutions for intelligent data analysis provide limited help to interpret and communicate information to non-expert users. In this paper we present a general approach to generating explanatory descriptions about the meaning of quantitative sensor data. We propose a type of web application: a virtual newspaper with automatically generated news stories that describe the meaning of sensor data. This solution integrates a variety of techniques from intelligent data analysis into a web-based multimedia presentation system. We validated our approach in a real world problem and demonstrate its generality using data sets from several domains. Our experience shows that this solution can facilitate the use of sensor data by general users and, therefore, can increase the utility of sensor network infrastructures.
机译:人类数据分析师的一个重要竞争力是解释和解释数据分析结果对最终用户的含义。然而,用于智能数据分析的现有自动解决方案提供有限的帮助来解释和向非专家用户传达信息。在本文中,我们介绍了一种产生关于定量传感器数据含义的解释性描述的一般方法。我们提出了一种类型的Web应用程序:虚拟报纸,具有自动生成的新闻故事,描述了传感器数据的含义。该解决方案将各种技术与智能数据分析中的各种技术集成到基于Web的多媒体演示系统中。我们在现实世界中验证了我们的方法,并使用来自多个域的数据集展示其普遍性。我们的经验表明,该解决方案可以促进通用用户的传感器数据,因此可以增加传感器网络基础架构的效用。

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