Similarity measuring method in time series based on slope

Jian Ye Zhang, Quan Pan, Peng Zhang, Jian Hai Liang

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

The similarity search in time series attracts much attention recently, and the similarity measuring method is one of the most important problems in this area. Aiming at the time series data with high dimension, multi-property, noise and default, a similarity measuring method based on slope is proposed in this paper. Based on PLR, the method distributes the power among their slope differences so that its physical concept is more clear. The slope distance completely satisfies the basic rules of similarity measuring, and the example shows its validity.

Original languageEnglish
Pages (from-to)271-274
Number of pages4
JournalMoshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence
Volume20
Issue number2
StatePublished - Apr 2007

Keywords

  • Measuring
  • Similarity
  • Slope
  • Time series

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