Searching Trajectories by Locations - An Efficiency Study
Summary: Defines k-BCT: top-k trajectories that best connect a small query-location set using distance+order similarity. Uses Incremental kNN (IKNN) on a spatial index with lower/upper bound pruning; adapts best-first/DFS k-NN and demonstrates optimizations and experiments. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zaiben Chen (University of Queensland)
- 2. Heng Tao Shen (University of Queensland)
- 3. Xiaofang Zhou (University of Queensland)
- 4. Yu Zheng (Microsoft)
- 5. Xing Xie (Microsoft)
BibTeX Citation
@inproceedings{chen_sigmod10,
title = {{Searching Trajectories by Locations - An Efficiency Study}},
author = {Chen, Zaiben and Shen, Heng Tao and Zhou, Xiaofang and Zheng, Yu and Xie, Xing},
series = {{SIGMOD} '10},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1807167.1807197},
url = {https://dl.acm.org/doi/10.1145/1807167.1807197},
year = {2010}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,814 | UlTraMan: A Unified Platform for Big Trajectory Data Management and Analytics | 2018 | VLDB | 6.9867936e-05 |
| 3,949 | On the Spatiotemporal Burstiness of Terms | 2012 | VLDB | 6.888653e-05 |
| 6,116 | Trajectory Similarity Join in Spatial Networks | 2017 | VLDB | 5.8657138e-05 |
| 6,535 | Trip Planning by an Integrated Search Paradigm | 2018 | SIGMOD | 5.7356177e-05 |
| 12,199 | Top-k Queries over Digital Traces | 2019 | SIGMOD | 4.9605343e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2 | R-Trees: A Dynamic Index Structure For Spatial Searching | 1984 | SIGMOD | 0.0019892478 |
| 28 | Nearest Neighbor Queries | 1995 | SIGMOD | 0.00051134355 |
| 42 | Fast Subsequence Matching in Time-Series Databases | 1994 | SIGMOD | 0.00045609336 |
| 229 | Robust and Fast Similarity Search for Moving Object Trajectories | 2005 | SIGMOD | 0.00023850907 |
| 307 | On The Marriage of Lp-norms and Edit Distance | 2004 | VLDB | 0.00021496009 |
| 918 | Querying and Mining of Time Series Data: Experimental Comparison of Representations and Distance Measures | 2008 | VLDB | 0.00013051871 |
| 1,298 | Indexing Spatio-Temporal Trajectories with Chebyshev Polynomials | 2004 | SIGMOD | 0.00011104678 |
| 2,502 | An Efficient and Accurate Method for Evaluating Time Series Similarity | 2007 | SIGMOD | 8.3580269e-05 |
| 2,838 | Estimating the Selectivity of Spatial Queries Using the 'Correlation' Fractal Dimension | 1995 | VLDB | 7.9401525e-05 |
| 6,913 | On Efficiently Searching Trajectories and Archival Data for Historical Similarities | 2008 | VLDB | 5.6331177e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,330 | Efficient k-NN Search on Vertically Decomposed Data | 2002 | SIGMOD |
| 2 | 1,867 | Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects | 2009 | VLDB |
| 3 | 6,116 | Trajectory Similarity Join in Spatial Networks | 2017 | VLDB |
| 4 | 6,073 | Progressive Top-K Nearest Neighbors Search in Large Road Networks | 2020 | SIGMOD |
| 5 | 8,923 | Simpler is More: Efficient Top-K Nearest Neighbors Search on Large Road Networks | 2024 | VLDB |
| 6 | 2,436 | Novel Approaches to the Indexing of Moving Object Trajectories | 2000 | VLDB |
| 7 | 10,719 | High-Throughput k Nearest Neighbors Search in Road Networks | 2026 | SIGMOD |
| 8 | 11,818 | Efficient Non-Learning Similar Subtrajectory Search | 2023 | VLDB |
| 9 | 11,653 | Efficient kNN Search in Public Transportation Networks | 2024 | VLDB |
| 10 | 12,230 | The Maximum Trajectory Coverage Query in Spatial Databases | 2019 | VLDB |