A dual-layer graph index with a custom subtrajectory similarity metric is proposed to accelerate top-k representative similar subtrajectory queries, with claimed speedups and roughly 90% retrieval accuracy.
Efficient learning-based top-k representative similar subtrajectory query,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
baseline 1
citation-polarity summary
fields
cs.DB 1years
2025 1verdicts
REJECT 1roles
baseline 1polarities
baseline 1representative citing papers
citing papers explorer
-
GTRSS: Graph-based Top-$k$ Representative Similar Subtrajectory Query
A dual-layer graph index with a custom subtrajectory similarity metric is proposed to accelerate top-k representative similar subtrajectory queries, with claimed speedups and roughly 90% retrieval accuracy.