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首页> 外文期刊>Advances in Distributed Computing And Artificial Intelligence Journal >Real Time Analytics for Characterizing the Computer User's State
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Real Time Analytics for Characterizing the Computer User's State

机译:用于表征计算机用户状态的实时分析

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摘要

In the last years, the amount of devices that can be connected to a network grew significantly allowing to, among other tasks, collect data about the environment or the people in it in a non-intrusive way. This generated nowadays well-known topics such as Big Data or the Internet of Things. This also opened the door to the development of novel and interesting applications. In this paper we propose a distributed system for acquiring data about the users of technological devices in a non-intrusive way. We describe how this data can be collected and transformed to produce meaningful interaction features, that reveal the state of the individuals. We analyse the requirements of such a system, namely in terms of storage and speed, and describe three prototypes currently being used in three different domains of application.
机译:在过去的几年中,可连接到网络的设备数量显着增长,除其他任务外,它还允许以非侵入方式收集有关环境或其中的人员的数据。这产生了当今众所周知的主题,例如大数据或物联网。这也为开发新颖有趣的应用程序打开了大门。在本文中,我们提出了一种分布式系统,用于以非侵入方式获取有关技术设备用户的数据。我们描述了如何收集和转换这些数据以产生有意义的交互功能,从而揭示个人的状态。我们分析了这种系统的需求,即在存储和速度方面,并描述了当前在三个不同应用领域中使用的三个原型。

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