TSSEARCH: Time Series Subsequence Search Library

Duarte Folgado; Marília Barandas; Margarida Antunes; Maria Lua Nunes; Hui Liu; Yale Hartmann; Tanja Schultz; Hugo Gamboa

doi:10.1016/j.softx.2022.101049

TSSEARCH: Time Series Subsequence Search Library

Duarte Folgado, Marília Barandas, Margarida Antunes, Maria Lua Nunes, Hui Liu, Yale Hartmann, Tanja Schultz, Hugo Gamboa

LIBPhys-UNL

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Abstract

Subsequence search and distance measures are crucial tools in time series data mining. This paper presents our Python package entitled TSSEARCH, which provides a comprehensive set of methods for subsequence search and similarity measurement in time series. These methods are user-customizable for more flexibility and efficient integration into real deployment scenarios. TSSEARCH enables fast exploratory time series data analysis and was validated in the context of human activity recognition and indoor localization.

Original language	English
Article number	101049
Pages (from-to)	1-5
Number of pages	5
Journal	SoftwareX
Volume	18
DOIs	https://doi.org/10.1016/j.softx.2022.101049
Publication status	Published - Jun 2022

Keywords

Time series
Subsequence search
Distances
Similarity measurements
Query-based search
Segmentation
Python package

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10.1016/j.softx.2022.101049Licence: CC BY

TSSEARCH Time Series Subsequence Search LibraryFinal published version, 537 KBLicence: CC BY

Cite this

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abstract = "Subsequence search and distance measures are crucial tools in time series data mining. This paper presents our Python package entitled TSSEARCH, which provides a comprehensive set of methods for subsequence search and similarity measurement in time series. These methods are user-customizable for more flexibility and efficient integration into real deployment scenarios. TSSEARCH enables fast exploratory time series data analysis and was validated in the context of human activity recognition and indoor localization.",

keywords = "Time series, Subsequence search, Distances, Similarity measurements, Query-based search, Segmentation, Python package",

author = "Duarte Folgado and Mar{\'i}lia Barandas and Margarida Antunes and Nunes, {Maria Lua} and Hui Liu and Yale Hartmann and Tanja Schultz and Hugo Gamboa",

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AU - Folgado, Duarte

AU - Barandas, Marília

AU - Antunes, Margarida

AU - Nunes, Maria Lua

AU - Liu, Hui

AU - Hartmann, Yale

AU - Schultz, Tanja

AU - Gamboa, Hugo

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KW - Time series

KW - Subsequence search

KW - Distances

KW - Similarity measurements

KW - Query-based search

KW - Segmentation

KW - Python package

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JO - SoftwareX

JF - SoftwareX

M1 - 101049

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TSSEARCH: Time Series Subsequence Search Library

Abstract

Keywords

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