STMotif
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Software:133087
Discovery of Motifs in Spatial-Time Series
Heraldo Borges, Eduardo Ogasawara, Amin Bazaz, Esther Pacciti
Last update: 23 February 2024
Copyright license: MIT license, File License
Software version identifier: 2.0.1, 0.1.0, 0.1.1, 1.0.0, 1.0.1, 1.0.2, 1.0.3, 1.0.4, 2.0.0, 2.0.2
Allow to identify motifs in spatial-time series. A motif is a previously unknown subsequence of a (spatial) time series with relevant number of occurrences. For this purpose, the Combined Series Approach (CSA) is used.
This page was built for software: STMotif
