G-SteX: Greedy Stem Extension for Free-Length Constrained Motif Discovery

  • Yasser Mohammad
  • Yoshimasa Ohmoto
  • Toyoaki Nishida
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7345)

Abstract

Most available motif discovery algorithms in real-valued time series find approximately recurring patterns of a known length without any prior information about their locations or shapes. In this paper, a new motif discovery algorithm is proposed that has the advantage of requiring no upper limit on the motif length. The proposed algorithm can discover multiple motifs of multiple lengths at once, and can achieve a better accuracy-speed balance compared with a recently proposed motif discovery algorithm. We then briefly report two successful applications of the proposed algorithm to gesture discovery and robot motion pattern discovery.

Keywords

Motif Discovery Motif Length Motif Detection Motif Occurrence Motif Discovery Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Yasser Mohammad
    • 1
  • Yoshimasa Ohmoto
    • 2
  • Toyoaki Nishida
    • 2
  1. 1.Assiut UniversityEgypt
  2. 2.Kyoto UniversityJapan

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