Datasets for Mobile, Wearable and IOT Research

Reza Rawassizadeh, D. Kotz
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引用次数: 8

Abstract

The advent of affordable devices with sensors and communication capabilities has led to the proliferation of computing paradigms, such as the Internet of Things (IoT), mobile devices, and wearable technologies. For the sake of simplicity, we use the umbrella term "small devices" for these technologies. At the same time, in the past decade, the increasing availability of large datasets has shifted scientists' attention toward data science, and defined new trends in computation. Even some scientists call it an evolutionary shift that has changed the pace of scientific progress, i.e., the "fourth paradigm" [1].
移动,可穿戴和物联网研究的数据集
具有传感器和通信功能的廉价设备的出现导致了计算范式的激增,例如物联网(IoT)、移动设备和可穿戴技术。为了简单起见,我们将这些技术统称为“小型设备”。与此同时,在过去的十年中,越来越多的大数据集的可用性已经将科学家的注意力转移到数据科学上,并定义了计算的新趋势。甚至一些科学家称其为改变科学进步步伐的进化转变,即“第四范式”[1]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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