TimeExplorer: Similarity search time series by their signatures

Tuan Nhon Dang, Leland Wilkinson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Scopus citations


The analysis of different time series is an important activity in many areas of science and engineering. In this paper, we introduce a new method (feature extraction for time series) and an application (TimeExplorer) for similarity-based time series querying. The method is based on eleven characterizations of line graphs presenting time series. These characterizations include measures, such as, means, standard deviations, differences, and periodicities. A similarity metric is then computed on these measures. Finally, we use the similarity metric to search for similar time series in the database.

Original languageEnglish
Title of host publicationAdvances in Visual Computing - 9th International Symposium, ISVC 2013, Proceedings
Number of pages10
EditionPART 1
StatePublished - 2013
Event9th International Symposium on Advances in Visual Computing, ISVC 2013 - Rethymnon, Crete, Greece
Duration: Jul 29 2013Jul 31 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume8033 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference9th International Symposium on Advances in Visual Computing, ISVC 2013
CityRethymnon, Crete


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