Context-Aware or Semantic Enrichment

SMOT+NCS: An algorithm for detecting non-continuous stops

Francisco Javier Moreno Arboleda.; Holver Patino; Vania Bogorny. SMOT+NCS: An algorithm for detecting non-continuous stops. Computing and Informatics, 2017.

Multiple Aspect Trajectory Data Analysis: Research Challenges and Opportunities

Carlos Andres Ferrero; Luis Otavio Alvares; Vania Bogorny. Multiple Aspect Trajectory Data Analysis: Research Challenges and Opportunities. In GEOINFO 2016, pages: 56-67

SMoT+: Extending the SMoT Algorithm for Discovering Stops in Nested Sites

Francisco Javier Moreno Arboleda, Andrés Felipe Pineda, Renato Fileto, Vania Bogorny: SMoT+: Extending the SMoT Algorithm for Discovering Stops in Nested Sites. Computing and Informatics 33(2): 327-342 (2014).

Semantic trajectories modeling and analysis.

Christine Parent, Stefano Spaccapietra, Chiara Renso, Gennady L. Andrienko, Natalia V. Andrienko, Vania Bogorny, Maria Luisa Damiani, Aris Gkoulalas-Divanis, José Antônio Fernandes de Macêdo, Nikos Pelekis, Yannis Theodoridis, Zhixian Yan: Semantic trajectories modeling and analysis. ACM Comput. Surv. 45(4): 42 (2013).

Where Have You Been Today? Annotating Trajectories with DayTag

Salvatore Rinzivillo, Fernando de Lucca Siqueira, Lorenzo Gabrielli, Chiara Renso, Vania Bogorny: Where Have You Been Today? Annotating Trajectories with DayTag. SSTD 2013: 467-471.

DB-SMoT: a Direction-based spatio-temporal clustering method

Manso, J. A; Times, V. C.; Oliveira, G.; Alvares, L.O.; Bogorny, V. DB-SMoT: a Direction-based spatio-temporal clustering method. Fifth IEEE International Conference on Intelligent Systems (IEEE IS 2010), 2010, (BIBTEX)

Semantic-based pruning of redundant and uninteresting frequent geographic patterns

Bogorny, V.; Valiati, J.F.; Alvares, L.O. Semantic-based pruning of redundant and uninteresting frequent geographic patterns. In: Geoinformatica. Springer, pp.201-220, vol 14(2). (BIBTEX).

Looking Inside the Stops of Trajectories of Moving Objects

Bruno Neiva Moreno, Valeria Cesario Times, Chiara Renso, Vania Bogorny. Looking Inside the Stops of Trajectories of Moving Objects, GEOINFO 2010.

ST-DMQL: A Semantic Trajectory Data Mining Query Language

Bogorny, V.; Kuijpers, B.; Alvares, L.O. ST-DMQL: A Semantic Trajectory Data Mining Query Language. In: International Journal of Geographical Information Science. Taylor and Francis . pp.1245 – 1276, vol 23 (10) (BIBTEX).

A Clustering-based Approach for Discovering Interesting Places in Trajectories

Palma, A. T; Bogorny, V.; Kuijpers, B.; Alvares, L.O. A Clustering-based Approach for Discovering Interesting Places in Trajectories. In: 23rd Annual Symposium on Applied Computing, (ACM-SAC’08), Fortaleza, Ceara, 16-20 March (2008) Brazil. pp. 863-868.

A Model for Enriching Trajectories with Semantic Geographical Information

Alvares,L. O.; Bogorny, V.; Kuijpers, B.; Macedo, J. A. F.; Moelans, B.; Vaisman, A. A Model for Enriching Trajectories with Semantic Geographical Information. In: Proc. of the ACM 15th International Symposium on Advances in Geographic Information Systems (ACM-GIS’07), Seattle, Washingthon, 7-9 November (2007), pp. 162-169.

Mining Maximal Generalized Frequent Geographic Patterns with Knowledge Constraints

Bogorny, V.; Valiati, J.; Camargo, S.; Engel, P.; Kuijpers, B.; Alvares, L.O. Mining Maximal Generalized Frequent Geographic Patterns with Knowledge Constraints. In: Proc. of the 6rd IEEE International Conference On Data Mining – (IEEE-ICDM’06),Hong Kong, December, pp.813-817).

Mining Frequent Geographic Patterns with Knowledge Constraints

Bogorny,V.; Camargo, S.; Engel, P.; Alvares, L.O. Mining Frequent Geographic Patterns with Knowledge Constraints. In: Proc. of the ACM 14th International Symposium on Advances in Geographic Information Systems (ACM-GIS’06), Arlington, USA, November 10-11. (2006). Pp.139-146.