Andre L. Lehmann, Luis Otávio Alvares, Vania Bogorny.
International Journal of Geographical Information Science 33(9): 1847-1872 (2019).
- publication: https://www.tandfonline.com/doi/full/10.1080/13658816.2019.1605074
- code: https://github.com/bigdata-ufsc/lehmann-2019-SMSM
- data:
Geolife
Crawdad
Synthetic Dataset extracted with Hermopoulis
SMSM is the first similarity measure that considers heterogeneous elements as stops and moves, and partial sequence.It considers all dimensions of space, time, and semantics, and evaluates the move similarity only the start stop and end stop of a subsequence have a spatial match.