由运动追踪器创建的体育活动数据挖掘

Iztok Fister, Duan Fister, S. Fong
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引用次数: 32

摘要

无处不在的技术使人们可以随时随地获取信息。智能移动设备的快速发展和无线网络的进步,导致了普适技术的广泛发展。普及设备是允许用户通过Internet进行通信的小块硬件。由于它们的功能使用户能够开发他们需要的软件,因此出现了许多移动设备的应用程序。在本文中,我们将使用移动运动追踪器展示体育活动中的数据挖掘。每个跟踪的体育活动被保存到一个文件中。数据挖掘可以应用于这些文件的收集,这将有助于运动员分析他们的训练,预测他们的下一步训练活动,提供营养建议等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Mining in Sporting Activities Created by Sports Trackers
Pervasive technologies allow people to get information from everywhere and at anytime. The rapid development of smart mobile devices on the one hand and the progress of wireless networks on the other, has led to the widespread growth of pervasive technologies. Pervasive devices are small pieces of hardware that allow users to communicate over the Internet. Due to their capabilities, which enable users to develop the software they need, many applications for mobile devices have emerged. In this article, we will present data mining in sporting activities using mobile sport trackers. Each tracked sporting activity is saved into a file. Data mining could be applied to the collection of these files, which would help sportsmen analyze their workouts, predict their further training activities, advise about nutrition, etc.
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