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2025-4-25- 6
Home > Archive>Volume 30, Issue 6, 2021 >300-305. DOI:10.15888/j.cnki.csa.007978
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Piecewise Linear Representation Based on Time Series Volatility
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    Abstract:

    Existing piecewise linear representation of time series ignores the global characteristics of time series and easily falls into local optima. To solve this, the paper studies the trend in time series and finds its fluctuation. The trends is divided into an upper layer and a lower one with their trend holding points removed. The experimental results show that the segmentation method has low time complexity and is easy to implement, and the fitting error is smaller on the premise of keeping the trend characteristics of time series.

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李颖,于东,胡毅,刘劲松,张丽鹏.基于时间序列波动性的分段线性表示方法.计算机系统应用,2021,30(6):300-305

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History
  • Received:October 12,2020
  • Revised:November 05,2020
  • Online: June 05,2021
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Links:Journal of Software中国科学院软件研究所中国计算机学会中国科学院国家自然科学基金委员会
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