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
- 2. Dongxiang Zhang
- 3. Huayu Wu
- 4. Kian-Lee Tan
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,321 | Trajectory Simplification: An Experimental Study and Quality Analysis | 2018 | VLDB | 7.2212455e-05 |
| 4,937 | UlTraMan: A Unified Platform for Big Trajectory Data Management and Analytics | 2018 | VLDB | 5.8147395e-05 |
| 7,036 | Real-time Distributed Co-Movement Pattern Detection on Streaming Trajectories | 2019 | VLDB | 4.850155e-05 |
| 7,433 | k/2-hop: Fast Mining of Convoy Patterns With Effective Pruning | 2019 | VLDB | 4.7270992e-05 |
| 9,750 | Co-movement Pattern Mining from Videos | 2024 | VLDB | 4.2856385e-05 |
| 10,585 | Mining Platoon Patterns from Traffic Videos | 2025 | VLDB | 4.1905499e-05 |
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 36 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00076114894 |
| 1,339 | SkewTune: Mitigating Skew in MapReduce Applications | 2012 | SIGMOD | 0.00012492978 |
| 1,704 | Swarm: Mining Relaxed Temporal Moving Object Clusters | 2010 | VLDB | 0.00010814313 |
| 1,741 | Discovery of Convoys in Trajectory Databases | 2008 | VLDB | 0.00010696301 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,893 | Prediction and Indexing of Moving Objects with Unknown Motion Patterns | 2004 | SIGMOD | 7.9547451e-05 |
| 7,433 | k/2-hop: Fast Mining of Convoy Patterns With Effective Pruning | 2019 | VLDB | 4.7270992e-05 |
| 1,127 | Trajectory Clustering: A Partition-and-Group Framework | 2007 | SIGMOD | 0.00013801775 |
| 8,413 | MoveMine: Mining Moving Object Databases | 2010 | SIGMOD | 4.5137116e-05 |
| 12,000 | MoveMine 2.0: Mining Object Relationships from Movement Data | 2014 | VLDB | 4.1905499e-05 |
| 8,865 | CoMing: A Real-time Co-Movement Mining System for Streaming Trajectories | 2020 | SIGMOD | 4.4282495e-05 |
| 11,823 | Efficient Mining of Regional Movement Patterns in Semantic Trajectories | 2017 | VLDB | 4.1905499e-05 |
| 1,749 | Distributed Trajectory Similarity Search | 2017 | VLDB | 0.00010684148 |
| 9,750 | Co-movement Pattern Mining from Videos | 2024 | VLDB | 4.2856385e-05 |
| 7,036 | Real-time Distributed Co-Movement Pattern Detection on Streaming Trajectories | 2019 | VLDB | 4.850155e-05 |