AUG-Segmenter: A user-friendly tool for segmentation of long time series

Abdullah Gedikli, Hafzullah Aksoy*, N. Erdem Unal

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

Abstract

In this study, three algorithms are presented for time series segmentation. The first algorithm is based on the branch-and-bound approach, the second on the dynamic programming while the third is a modified version of the latter into which the remaining cost concept of the former is introduced. A user-friendly computer program called AUG-Segmenter is developed. Segmentation-by-constant and segmentation-by-linear-regression can be performed by the program. The program is tested on real-world time series of thousands of terms and found useful in performing segmentation satisfactorily and fast.

Original languageEnglish
Pages (from-to)318-328
Number of pages11
JournalJournal of Hydroinformatics
Volume12
Issue number3
DOIs
Publication statusPublished - 2010

Keywords

  • Branch-and-bound approach
  • Change point
  • Dynamic programming
  • Remaining cost
  • Segmentation
  • Time series

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