A General and Parallel Platform for Mining Co-Movement Patterns over Large-scale Trajectories
Summary: Unifies prior co-movement definitions into a general pattern class for large-scale trajectories. Presents two parallel Spark-based frameworks for scalable mining, and demonstrates effectiveness on real datasets with hundreds of millions of points. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Qi Fan (National University of Singapore)
- 2. Dongxiang Zhang (University of Electronic Science and Technology of China)
- 3. Huayu Wu (Institute for Infocomm Research)
- 4. Kian-Lee Tan (National University of Singapore)
BibTeX Citation
@article{fan_vldb17,
title = {{A General and Parallel Platform for Mining Co-Movement Patterns over Large-scale Trajectories}},
author = {Fan, Qi and Zhang, Dongxiang and Wu, Huayu and Tan, Kian-Lee},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {4},
pages = {313},
doi = {10.14778/3025111.3025114},
url = {https://doi.org/10.14778/3025111.3025114},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,009 | Trajectory Simplification: An Experimental Study and Quality Analysis | 2018 | VLDB | 7.7578378e-05 |
| 3,802 | UlTraMan: A Unified Platform for Big Trajectory Data Management and Analytics | 2018 | VLDB | 7.0132896e-05 |
| 4,907 | Subtrajectory Clustering: Models and Algorithms | 2018 | PODS | 6.3607956e-05 |
| 7,026 | Real-time Distributed Co-Movement Pattern Detection on Streaming Trajectories | 2019 | VLDB | 5.6180637e-05 |
| 7,600 | k/2-hop: Fast Mining of Convoy Patterns With Effective Pruning | 2019 | VLDB | 5.4870282e-05 |
| 10,081 | Co-movement Pattern Mining from Videos | 2024 | VLDB | 5.0830849e-05 |
| 11,247 | Mining Platoon Patterns from Traffic Videos | 2025 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 29 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.0005121339 |
| 1,351 | SkewTune: Mitigating Skew in MapReduce Applications | 2012 | SIGMOD | 0.00010934347 |
| 1,783 | Swarm: Mining Relaxed Temporal Moving Object Clusters | 2010 | VLDB | 9.6511944e-05 |
| 1,942 | Discovery of Convoys in Trajectory Databases | 2008 | VLDB | 9.3285345e-05 |
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|---|---|---|---|---|
| 1 | 3,462 | Prediction and Indexing of Moving Objects with Unknown Motion Patterns | 2004 | SIGMOD |
| 2 | 7,600 | k/2-hop: Fast Mining of Convoy Patterns With Effective Pruning | 2019 | VLDB |
| 3 | 917 | Trajectory Clustering: A Partition-and-Group Framework | 2007 | SIGMOD |
| 4 | 8,799 | MoveMine: Mining Moving Object Databases | 2010 | SIGMOD |
| 5 | 12,481 | MoveMine 2.0: Mining Object Relationships from Movement Data | 2014 | VLDB |
| 6 | 9,193 | CoMing: A Real-time Co-Movement Mining System for Streaming Trajectories | 2020 | SIGMOD |
| 7 | 12,313 | Efficient Mining of Regional Movement Patterns in Semantic Trajectories | 2017 | VLDB |
| 8 | 2,021 | Distributed Trajectory Similarity Search | 2017 | VLDB |
| 9 | 10,081 | Co-movement Pattern Mining from Videos | 2024 | VLDB |
| 10 | 7,026 | Real-time Distributed Co-Movement Pattern Detection on Streaming Trajectories | 2019 | VLDB |