Algorithm Research & Explore
|
403-408

Research on time series motif association rule mining method based on AR_TSM

Zhao Danfeng1
Huang Yanling1
Huang Dongmei2
Lin Junchen1
Song Wei1
1. Dept. of Information Technology, Shanghai Ocean University, Shanghai 201306, China
2. Shanghai University of Electric Power, Shanghai 200090, China

Abstract

Mining potential association rules between time series motif can play an important role in predicting future trends. Time series motif is a previously unknown recurring pattern in time series. Aimed at the problem of information loss caused by symbolic time series when extract the motif, this paper developed a motif extraction algorithm PM_Motif based on pruning technology. It could extract motif accurately and quickly. Aimed at the problem of inconsistent rules caused by splitting motif to find its internal association rules, this paper developed an association rule mining algorithm between time series motif based on AR_TSM method. It could fundamentally avoid the uncertainty caused by motif segmentation and ensure the consistency of the rules. Finally, it introduced the association rule evaluation parameter RM, and could prove the prediction performance of the association rule mining algorithm on multiple datasets.

Foundation Support

国家重点研发计划资助项目(2016YFC1401902)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.12.0664
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 2
Section: Algorithm Research & Explore
Pages: 403-408
Serial Number: 1001-3695(2021)02-014-0403-06

Publish History

[2021-02-05] Printed Article

Cite This Article

赵丹枫, 黄雁玲, 黄冬梅, 等. 基于AR_TSM的时间序列motif关联规则挖掘方法研究 [J]. 计算机应用研究, 2021, 38 (2): 403-408. (Zhao Danfeng, Huang Yanling, Huang Dongmei, et al. Research on time series motif association rule mining method based on AR_TSM [J]. Application Research of Computers, 2021, 38 (2): 403-408. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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