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

被引：0
|
作者：
Lee, Yong-Ju [1 ,2 ]
Min, OkGee [1 ]
机构：
[1] Elect & Telecommun Res Inst, Software & Contents Res Lab, Big Data Intelligence Res Dept, Daejeon, South Korea
[2] Univ Sci & Technol, Dept Comp Software, Daejeon, South Korea
来源：
2016 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND SECURITY (ICISS) | 2014年
关键词：
Approximate Iteration; IoT (Internet of Things);
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：133 / 136
页数：4
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