序列数据趋势检测的惯性检验和趋势划分

2015 International Conference on Logistics, Informatics and Service Sciences (LISS) Pub Date : 2015-07-27 DOI:10.1109/LISS.2015.7369685

Gao Xuedong, Guangyuan Kan

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引用次数: 2

摘要

本文主要研究趋势研究领域中原语的定义和趋势的表示与检测。提出了一种利用惯性检验检测趋势的算法。实验结果解释了传统原语可以很好地拟合序列数据的原因，同时也暴露了其局限性。

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The inertia test and trend partition for trend detection in sequential data

This paper focuses on the definition of primitives and the presentation and detection of trends in the field of trend studies. An algorithm using the inertia test to detect trends is also proposed. Experiment results explain the reason why traditional primitives can fit sequential data well, while exposing their limitations at the same time.

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2015 International Conference on Logistics, Informatics and Service Sciences (LISS)

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