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Inside each block, subsequences of spatial-time series are combined in a way that hash-based motif discovery algorithm is applied. Motifs are validated according to both temporal and spatial constraints. Later, motifs are ranked according to their entropy, the number of occurrences, and the proximity of their occurrences. The approach was evaluated using both synthetic and seismic datasets. CSA outperforms traditional methods designed only for time series. CSA was also able to prioritize motifs that were meaningful both in the context of synthetic data and also according to seismic specialists.<\/jats:p>","DOI":"10.3233\/ida-194759","type":"journal-article","created":{"date-parts":[[2020,10,2]],"date-time":"2020-10-02T13:35:23Z","timestamp":1601645723000},"page":"1121-1140","source":"Crossref","is-referenced-by-count":1,"title":["Spatial-time motifs discovery"],"prefix":"10.1177","volume":"24","author":[{"given":"Heraldo","family":"Borges","sequence":"first","affiliation":[{"name":"CEFET\/RJ \u2013 Federal Center for Technological Education of Rio de Janeiro, Rio de Janeiro, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Murillo","family":"Dutra","sequence":"additional","affiliation":[{"name":"CEFET\/RJ \u2013 Federal Center for Technological Education of Rio de Janeiro, Rio de Janeiro, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amin","family":"Bazaz","sequence":"additional","affiliation":[{"name":"University of Montpellier Montpellier, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rafaelli","family":"Coutinho","sequence":"additional","affiliation":[{"name":"CEFET\/RJ \u2013 Federal Center for Technological Education of Rio de Janeiro, Rio de Janeiro, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"F\u00e1bio","family":"Perosi","sequence":"additional","affiliation":[{"name":"UFRJ \u2013 Federal University of Rio de Janeiro, Rio de Janeiro, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"F\u00e1bio","family":"Porto","sequence":"additional","affiliation":[{"name":"LNCC \u2013 National Laboratory for Scientific Computing, Petropolis, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Florent","family":"Masseglia","sequence":"additional","affiliation":[{"name":"INRIA, France"},{"name":"University of Montpellier Montpellier, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Esther","family":"Pacitti","sequence":"additional","affiliation":[{"name":"INRIA, France"},{"name":"University of Montpellier Montpellier, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eduardo","family":"Ogasawara","sequence":"additional","affiliation":[{"name":"CEFET\/RJ \u2013 Federal Center for Technological Education of Rio de Janeiro, Rio de Janeiro, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/IDA-194759_ref1","doi-asserted-by":"crossref","unstructured":"T. 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