A research on the sequential pattern similarity of time series

Xun Lin, Yong Zhou, Yuan Xue

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In general, the distance measuring method could only measure the pattern similarities of the time series with the same length. Through introducing the concept of dynamic time warping distance, this work proposed a way to define the dynamic time warping distance of the sequential patterns and finally carry out simulation experiments based on the defining the similarities of meta patterns.

Original languageEnglish (US)
Title of host publicationProceedings - 2009 International Forum on Information Technology and Applications, IFITA 2009
Pages247-250
Number of pages4
DOIs
Publication statusPublished - Nov 5 2009
Event2009 International Forum on Information Technology and Applications, IFITA 2009 - Chengdu, China
Duration: May 15 2009May 17 2009

Publication series

NameProceedings - 2009 International Forum on Information Technology and Applications, IFITA 2009
Volume2

Other

Other2009 International Forum on Information Technology and Applications, IFITA 2009
CountryChina
CityChengdu
Period5/15/095/17/09

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All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Software

Cite this

Lin, X., Zhou, Y., & Xue, Y. (2009). A research on the sequential pattern similarity of time series. In Proceedings - 2009 International Forum on Information Technology and Applications, IFITA 2009 (pp. 247-250). [5231213] (Proceedings - 2009 International Forum on Information Technology and Applications, IFITA 2009; Vol. 2). https://doi.org/10.1109/IFITA.2009.479