Approximate Iterative Method for Fast Data Analysis in Internet of Things Environment

Yong-Ju Lee, Ok-Gee Min
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Abstract

Fast data (the next step after big data) revolution leads to new requirements in data processing platforms. To overcome the fast data bottleneck caused by data in extremely rapid transit, adaptive data approximation is one of the alternative ways to handle incredible data speed. In this paper, we present an approximate iterative method for fast data analysis and investigate what benefits and opportunities might be available in Internet of Things environment.
物联网环境下快速数据分析的近似迭代法
快速数据革命(大数据之后的下一步)对数据处理平台提出了新的要求。为了克服由于数据传输速度极快而造成的快速数据瓶颈,自适应数据近似是处理难以置信的数据传输速度的替代方法之一。在本文中,我们提出了一种快速数据分析的近似迭代方法,并研究了物联网环境中可能提供的好处和机会。
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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