MAT-Tree: A Tree-Based Method for Multiple Aspect Trajectory Clustering-Reference-Cited by-同舟云学术

MAT-Tree: A Tree-Based Method for Multiple Aspect Trajectory Clustering

Published:2023 Issue: Volume: Page:464-478
ISSN:0302-9743
Container-title:Intelligent Systems
language:
Short-container-title:

Author:

Santos Yuri^ORCID,Giuliani Ricardo,Bogorny Vania^ORCID,Grellert Mateus^ORCID,Carvalho Jônata Tyska^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-45368-7_30

Reference32 articles.

1. Alvares, L.O., Bogorny, V., Kuijpers, B., de Macedo, J.A.F., Moelans, B., Vaisman, A.: A model for enriching trajectories with semantic geographical information. In: Proceedings of the 15th Annual ACM International Symposium on Advances in Geographic Information Systems, pp. 1–8 (2007)

2. Chen, J., Wang, R., Liu, L., Song, J.: Clustering of trajectories based on Hausdorff distance. In: 2011 International Conference on Electronics, Communications and Control (ICECC), pp. 1940–1944 (2011)

3. Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P., et al.: Knowledge discovery and data mining: towards a unifying framework. In: KDD, vol. 96, pp. 82–88 (1996)

4. Furtado, A.S., Kopanaki, D., Alvares, L.O., Bogorny, V.: Multidimensional similarity measuring for semantic trajectories. Trans. GIS 20(2), 280–298 (2016)

5. Gonzalez, M.C., Hidalgo, C.A., Barabasi, A.-L.: Understanding individual human mobility patterns. Nature 453(7196), 779–782 (2008)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MAT-CA: a tool for Multiple Aspect Trajectory Clustering Analysis;Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging issues and Ethical perspectives 2023;2023-11-13