MasterMovelets: discovering heterogeneous movelets for multiple aspect trajectory classification-Reference-Cited by-同舟云学术

MasterMovelets: discovering heterogeneous movelets for multiple aspect trajectory classification

Author:

Ferrero Carlos Andres^ORCID,Petry Lucas May^ORCID,Alvares Luis Otavio^ORCID,da Silva Camila Leite^ORCID,Zalewski Willian^ORCID,Bogorny Vania^ORCID

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Link

Reference27 articles.

1. Berndt DJ, Clifford J (1994) Using dynamic time warping to find patterns in time series. In: KDD workshop, vol 10, pp 359–370. AAAI Press, Seattle

Cited by 8 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

2. The Trajectory Interval Forest Classifier for Trajectory Classification;Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems;2023-11-13

3. AUTOMATISE: Multiple Aspect Trajectory Data Mining Tool Library;2022 23rd IEEE International Conference on Mobile Data Management (MDM);2022-06