Two component data representation using piecewise approximation and specific points for IoT

Hyunjae Park, Young-June Choi
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Abstract

In these days, concept of IoT is widely spread from individual devices to large industrial systems. However, data handling from IoT devices is on developing stage. Delivering large amount of data to server which mainly operates data analysis is required and it becomes a burden to network. Our work has focused on reducing volume of data to transmit with data approximation in the domain of time series data. We suggest a data representation method which separates data into specific data point and piecewise approximation values. In addition, we show the difference between raw data and reduced data in distance and in time series classification accuracy.
使用分段逼近和物联网特定点的两分量数据表示
如今,物联网的概念从单个设备广泛传播到大型工业系统。然而,物联网设备的数据处理尚处于发展阶段。需要向主要进行数据分析的服务器传输大量数据,这给网络带来了负担。我们的工作重点是在时间序列数据领域中,利用数据逼近方法减少数据传输量。我们提出了一种数据表示方法,该方法将数据分离为特定的数据点和分段逼近值。此外,我们还展示了原始数据和简化数据在距离和时间序列分类精度方面的差异。
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