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Bogorny, Vania, Kuijpers, Bart, Alvares, Luis Otavio (2009) ST‐DMQL: A Semantic Trajectory Data Mining Query Language. International Journal of Geographical Information Science, 23 (10). 1245-1276 doi:10.1080/13658810802231449

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Reference TypeJournal (article/letter/editorial)
TitleST‐DMQL: A Semantic Trajectory Data Mining Query Language
JournalInternational Journal of Geographical Information Science
AuthorsBogorny, VaniaAuthor
Kuijpers, BartAuthor
Alvares, Luis OtavioAuthor
Year2009 (October)Volume23
Issue10
PublisherInforma UK Limited
DOIdoi:10.1080/13658810802231449Search in ResearchGate
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Mindat Ref. ID7579169Long-form Identifiermindat:1:5:7579169:0
GUID0
Full ReferenceBogorny, Vania, Kuijpers, Bart, Alvares, Luis Otavio (2009) ST‐DMQL: A Semantic Trajectory Data Mining Query Language. International Journal of Geographical Information Science, 23 (10). 1245-1276 doi:10.1080/13658810802231449
Plain TextBogorny, Vania, Kuijpers, Bart, Alvares, Luis Otavio (2009) ST‐DMQL: A Semantic Trajectory Data Mining Query Language. International Journal of Geographical Information Science, 23 (10). 1245-1276 doi:10.1080/13658810802231449
In(2009, October) International Journal of Geographical Information Science Vol. 23 (10) Informa UK Limited

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Lehmann, Andre L., Alvares, Luis Otavio, Bogorny, Vania (2019) SMSM: a similarity measure for trajectory stops and moves. International Journal of Geographical Information Science, 33 (9). 1847-1872 doi:10.1080/13658816.2019.1605074
Furtado, Andre Salvaro, Alvares, Luis Otavio Campos, Pelekis, Nikos, Theodoridis, Yannis, Bogorny, Vania (2018) Unveiling movement uncertainty for robust trajectory similarity analysis. International Journal of Geographical Information Science, 32 (1). 140-168 doi:10.1080/13658816.2017.1372763
Barragana, Mateus, Alvares, Luis Otavio, Bogorny, Vania (2017) Unusual behavior detection and object ranking from movement trajectories in target regions. International Journal of Geographical Information Science, 31 (2). 364-386 doi:10.1080/13658816.2016.1202415
Petry, Lucas May, Ferrero, Carlos Andres, Alvares, Luis Otavio, Renso, Chiara, Bogorny, Vania (2019) Towards semantic‐aware multiple‐aspect trajectory similarity measuring. Transactions in GIS, 23 (5) 960-975 doi:10.1111/tgis.12542
Bogorny, Vania, Avancini, Hercules, de Paula, Bruno Cesar, Kuplich, Cassiano Rocha, Alvares, Luis Otavio (2011) Weka-STPM: a Software Architecture and Prototype for Semantic Trajectory Data Mining and Visualization. Transactions in GIS, 15 (2) 227-248 doi:10.1111/j.1467-9671.2011.01246.x
Furtado, Andre Salvaro, Kopanaki, Despina, Alvares, Luis Otavio, Bogorny, Vania (2016) Multidimensional Similarity Measuring for Semantic Trajectories. Transactions in GIS, 20 (2) 280-298 doi:10.1111/tgis.12156
Bogorny, Vania, Renso, Chiara, de Aquino, Artur Ribeiro, de Lucca Siqueira, Fernando, Alvares, Luis Otavio (2014) CONSTAnT - A Conceptual Data Model for Semantic Trajectories of Moving Objects. Transactions in GIS, 18 (1) 66-88 doi:10.1111/tgis.12011
Ferrero, Carlos Andres, Petry, Lucas May, Alvares, Luis Otavio, da Silva, Camila Leite, Zalewski, Willian, Bogorny, Vania (2020) MasterMovelets: discovering heterogeneous movelets for multiple aspect trajectory classification. Data Mining and Knowledge Discovery, 34 (3) 652-680 doi:10.1007/s10618-020-00676-x
Bogorny, V., Kuijpers, B., Alvares, L. O. (2008) Reducing uninteresting spatial association rules in geographic databases using background knowledge: a summary of results. International Journal of Geographical Information Science, 22 (4). 361-386 doi:10.1080/13658810701412991
May Petry, Lucas, Leite Da Silva, Camila, Esuli, Andrea, Renso, Chiara, Bogorny, Vania (2020) MARC: a robust method for multiple-aspect trajectory classification via space, time, and semantic embeddings. International Journal of Geographical Information Science, 34 (7) 1428-1450 doi:10.1080/13658816.2019.1707835
Tortelli Portela, Tarlis, Tyska Carvalho, Jonata, Bogorny, Vania (2022) HiPerMovelets: high-performance movelet extraction for trajectory classification. International Journal of Geographical Information Science, 36 (5) 1012-1036 doi:10.1080/13658816.2021.2018593
 
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