TUMD describes unlabeled movement data by computing outlier scores for taxonomic groups of movement variables and classifying trajectories into behavioral zones; it met the authors' effectiveness criteria on three of four datasets.
In: 12th Regional Conference on Computer Information and Engineering (2019) At: Vientiane, Laos,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.OH 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
A Novel Multilevel Taxonomical Approach for Describing High-Dimensional Unlabeled Movement Data
TUMD describes unlabeled movement data by computing outlier scores for taxonomic groups of movement variables and classifying trajectories into behavioral zones; it met the authors' effectiveness criteria on three of four datasets.