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English Information

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Authors
# Name
1 Vanessa Machado(vanessalagomachado@gmail.com)
2 Tarlis Portela(tarlis@tarlis.com.br)
3 Lucas Vanini(lucasvanini@ifsul.edu.br)
4 Ronaldo Mello(r.mello@ufsc.br)

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Reference
# Reference
1 Alowayr, A. D., Alsalooli, L. A., Alshahrani, A. M., and Akaichi, J. (2021). A review of trajectory data mining applications. In 2021 International Conference of Women in Data Science at Taif University (WiDSTaif ), pages 1–6.
2 Eiter, T. and Mannila, H. (1994). Computing discrete frechet distance. Technical report cd-tr 94/64, Christian Doppler Laboratory for Expert Systems, TU Vienna - Austria.
3 Erwig, M. et al. (1999). Spatio-temporal data types: An approach to modeling and querying moving objects in databases. GeoInformatica, 3(3):269–296.
4 Furtado, A. S., Alvares, L. O. C., Pelekis, N., Theodoridis, Y., and Bogorny, V. (2018). Unveiling movement uncertainty for robust trajectory similarity analysis. Int. J. Geogr. Inf. Sci., 32(1):140–168.
5 Furtado, A. S., Kopanaki, D., Alvares, L. O., and Bogorny, V. (2016). Multidimensional similarity measuring for semantic trajectories. Trans. GIS, 20(2):280–298.
6 Gupta, A., Mishra, A., Vadlamudi, S., Chakrabarti, P., Sarkar, S., Mukherjee, T., and Gnanasambandam, N. (2013). A mobility simulation framework of humans with group behavior modeling. In 2013 IEEE 13th International Conference on Data Mining, pages 1067–1072.
7 Jeung, H., Yiu, M. L., Zhou, X., Jensen, C. S., and Shen, H. T. (2008). Discovery of convoys in trajectory databases. Proc. VLDB Endow., page 1068–1080.
8 Kalnis, P., Mamoulis, N., and Bakiras, S. (2005). On discovering moving clusters in spatio-temporal data. In Advances in Spatial and Temporal Databases: 9th International Symposium, SSTD 2005, pages 364–381. Springer.
9 Li, Z., Wu, F., and Crofoot, M. (2013). Mining following relationships in movement data. In Proc. 2013 Int. Conf. Data Mining (ICDM’13).
10 Machado, V. L. (2024). On Computing Representative Data for Summarizing Multiple Aspect Trajectories. Tese (doutorado), Universidade Federal de Santa Catarina, Florianópolis.
11 Machado, V. L., Portela, T., Machado, A. d. L., Schreiner, G. A., and Mello, R. d. S. (2023a). A method for computing representative data for multiple aspect trajectories based on data summarization. In XXIV Brazilian Symposium on Geoinformatics.
12 Machado, V. L., Portela, T., Renso, C., and Mello, R. d. S. (2023b). Towards a representativeness measure for summarized trajectories with multiple aspects. In XXIV Brazilian Symposium on Geoinformatics.
13 Mello, R. d. S. et al. (2019). MASTER: A multiple aspect view on trajectories. Trans. GIS, 23(4):805–822.
14 Parent, C. et al. (2013). Semantic trajectories modeling and analysis. ACM Comput. Surv., 45(4):42:1–42:32.
15 Petry, L. M., Ferrero, C. A., Alvares, L. O., Renso, C., and Bogorny, V. (2019). Towards semantic-aware multiple-aspect trajectory similarity measuring. Trans. GIS, 23(5):960–975.
16 Wiratma, L., van Kreveld, M., and Loffler, M. (2017). On measures for groups of trajectories. In 20th AGILE conference on Geographic Information Science, pages 311–330. Springer.