作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2007, Vol. 33 ›› Issue (17): 102-104,. doi: 10.3969/j.issn.1000-3428.2007.17.035

• 软件技术与数据库 • 上一篇    下一篇

基于序变换的时间序列快速匹配搜索方法

袁晓峰1,许化龙1,陈淑红2   

  1. (1. 第二炮兵工程学院3系,西安 710025;2. 第二炮兵装备研究院第三研究所,北京 100085)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-09-05 发布日期:2007-09-05

Ordinal-transformation-based Method for Fast Similarity Search of Time Series

YUAN Xiao-feng1, XU Hua-long1, CHEN Shu-hong2   

  1. (1. No. 3 Dept., The Second Artillery Engineering Institute, Xi’an 710025; 2. No.3 Institute, The Second Artillery Armament Academy, Beijing 100085)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-09-05 Published:2007-09-05

摘要: 分析了时间序列相似匹配搜索的研究现状,提出了基于序变换的时间序列相似匹配搜索方法。该方法能够实现趋势相似的不同长度子序列的快速匹配搜索,同时具有对匹配序列的平移、时间轴的伸缩不敏感、误警率低,以及易于建立索引等优点。实验结果证明了该方法的有效性。

关键词: 时间序列, 序模式, 序变换, 相似性搜索

Abstract: This paper reviews the current research status of time series similarity search, and proposes ordinal-transformation-based similarity search method, which can achieve fast trend similarity search among sub-series of different length. In addition to insensitivity to horizontal shifting and time-axis scaling, the proposed method has a lower false alarm ratio and a higher indexing efficiency. Experimental results show the proposed method is quite competitive in terms of speed and robustness.

Key words: time series, ordinal pattern, ordinal transformation, similarity search

中图分类号: