Efficient Mining of Regional Movement Patterns in Semantic Trajectories
Summary: Proposes RegMiner, a density-based regional semantic trajectory miner that finds locally dense sequential patterns, not global ones. Uses a spatial density metric to quantify regional frequency, enabling fast mining and revealing local patterns with speedups over global methods. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Dong-Wan Choi (Imperial College London; Kookmin University)
- 2. Jian Pei (Simon Fraser University)
- 3. Thomas Heinis (Imperial College London)
BibTeX Citation
@article{choi_vldb17,
title = {{Efficient Mining of Regional Movement Patterns in Semantic Trajectories}},
author = {Choi, Dong-Wan and Pei, Jian and Heinis, Thomas},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {13},
doi = {10.14778/3151106.3151111},
url = {https://doi.org/10.14778/3151106.3151111},
year = {2017}
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 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 | 0.0020210012 |
| 918 | Trajectory Clustering: A Partition-and-Group Framework | 2007 | SIGMOD | 0.00013215285 |
| 1,381 | Finding Time Period-Based Most Frequent Path in Big Trajectory Data | 2013 | SIGMOD | 0.00010965263 |
| 1,755 | Swarm: Mining Relaxed Temporal Moving Object Clusters | 2010 | VLDB | 9.8211863e-05 |
| 1,885 | Discovery of Convoys in Trajectory Databases | 2008 | VLDB | 9.5362394e-05 |
| 8,538 | Splitter: Mining Fine-Grained Sequential Patterns in Semantic Trajectories | 2014 | VLDB | 5.4119882e-05 |
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