Andre Salvaro Furtado; Laercio Pilla Lima; Vania Bogorny.
Data & Knowledge Engineering, v. 5, p. 1, 2018.
- publication: https://www.sciencedirect.com/science/article/abs/pii/S0169023X17302021
- code: https://github.com/bigdata-ufsc/furtado-2018-ftsm-msm
- data:
UBER-SF
Trucks
The UCI Trajectory
Park
Geolife
AIS Brest
FTSM is an approach to improve the performance of sequence comparison, that instead of using a dynamic programming approach, adopts a solution inspired by the branch and bound paradigm to optimize the exact computation of threshold-based and dynamic threshold-based similarity measures.