多变量时间序列模式预测的动态周期性事件图

SoYoung Park1, HyeWon Lee1, Sungsu Lim1

  • 1Department of Computer Science and Engineering, Chungnam National University, Daejeon, Republic of South Korea.

PubMed
概括

本研究引入了动态周期事件图 (PEGs),通过纳入数据周期性来改进多变量时间序列分析. 通过捕捉反复出现的模式,PEGs提高了链接预测的准确性,优于现有的方法.

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