A new spatiotemporal pattern mining to explore earthquake dynamics

Published in:: Abstracts of the ICA
Vol. 7.2024 (02.09.2024), art. no. 53, p. 1-2
Volume:: 7.2024
Publication date:: 02.09.2024
URN:: urn:nbn:de:0307-20250905-002-4
DOI:: 10.5194/ica-abs-7-53-2024
Language:: English
Type of Resource:: Text
Extent:: 1 Online-Ressource (Seite 1-2, 850,02 kB) : 1 Illustration, 1 Textdatei (PDF)
Keywords:: associated seismotectonic regions; association visualization; association rules; co-location pattern mining; assoziierte seismotektonische Region; Assoziationsvisualisierung; Assoziationsregel; Co-Location-Mustererkennung
Geographic:: Iran^GND
Geographic coordinates:: 053.000000 032.000000
DDC subject of DNB:: 520 Astronomy & allied sciences
URL:: https://doi.org/10.5194/ica-abs-7-53-2024
URL:: https://ica-abs.copernicus.org/articles/7/53/2024/
Link to Raw Object:: https://ica-abs.copernicus.org/articles/7/53/2024/ica-abs-7-53-2024.pdf
Hosting institution:: K. N. Toosi University of Technology (KNTU) [IR]
Hosting institution:: Internationale Forschungseinrichtungen
Statement of responsibility:: Roya Habibi, Ali Asghar Alesheikh
Bibliographic notes:: Published in: Abstracts of the ICA, Volume 7, 2024 - European Cartographic Conference – EuroCarto 2024; 9–11 September 2024, TU Wien, Vienna, Austria; Editors: Georg Gartner, Florian Ledermann, and Andrea Binn | https://ica-abs.copernicus.org/articles/7/index.html