Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/8077
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dc.contributor.authorallCassisi, C.; Dipartimento di Matematica e Informatica, Universita` degli studi di Catania, Catania, Italy-
dc.contributor.authorallAliotta, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia-
dc.contributor.authorallCannata, A.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia-
dc.contributor.authorallMontalto, P.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia-
dc.contributor.authorallPatanè, D.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia-
dc.contributor.authorallPulvirenti, A.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia-
dc.contributor.authorallSpampinato, L.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia-
dc.date.accessioned2012-10-08T14:12:30Z-
dc.date.available2012-10-08T14:12:30Z-
dc.date.issued2013-
dc.identifier.urihttp://hdl.handle.net/2122/8077-
dc.description.abstractAlgorithms searching for similar patterns are widely used in seismology both when the waveforms of the events of interest are known and when there is no a priori-knowledge. Such methods usually make use of the cross-correlation coefficient as a measure of similarity; if there is no a-priori knowledge, they behave as brute-force searching algorithms. The disadvantage of these methods, preventing or limiting their application to very large datasets, is computational complexity. The Mueen–Keogh (MK) algorithm overcomes this limitation by means of two optimization techniques—the early abandoning concept and space indexing. Here, we apply the MK algorithm to amplitude time series retrieved from seismic signals recorded during episodic eruptive activity of Mt Etna in 2011. By adequately tuning the input to the MK algorithm we found eight motif groups characterized by distinct seismic amplitude trends, each related to a different phenomenon. In particular, we observed that earthquakes are accompanied by sharp increases and decreases in seismic amplitude whereas lava fountains are accompanied by slower changes. These results demonstrate that the MK algorithm, because of its particular features, may have wide applicability in seismology.en_US
dc.language.isoengen_US
dc.publisher.nameSpringer Verlagen_US
dc.relation.ispartofPure and Applied Geophysicsen_US
dc.relation.ispartofseries/170 (2013)en_US
dc.subjectMotif discoveryen_US
dc.subjectpattern recognitionen_US
dc.subjectvolcano monitoringen_US
dc.titleMotif Discovery on Seismic Amplitude Time Series: The Case Study of Mt Etna 2011 Eruptive Activityen_US
dc.typearticle-
dc.description.statusPublisheden_US
dc.type.QualityControlPeer-revieweden_US
dc.description.pagenumber529-545en_US
dc.subject.INGV04. Solid Earth::04.06. Seismology::04.06.08. Volcano seismologyen_US
dc.identifier.doi10.1007/s00024-012-0560-yen_US
dc.description.obiettivoSpecifico1.4. TTC - Sorveglianza sismologica delle aree vulcaniche attiveen_US
dc.description.journalTypeJCR Journalen_US
dc.description.fulltextrestricteden
dc.relation.issn0033-4553en_US
dc.relation.eissn1420-9136en_US
dc.contributor.authorCassisi, C.-
dc.contributor.authorAliotta, M.-
dc.contributor.authorCannata, A.-
dc.contributor.authorMontalto, P.-
dc.contributor.authorPatanè, D.-
dc.contributor.authorPulvirenti, A.-
dc.contributor.authorSpampinato, L.-
dc.contributor.departmentDipartimento di Matematica e Informatica, Universita` degli studi di Catania, Catania, Italy-
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia-
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia-
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia-
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia-
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia-
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italia-
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