Mining Significant Semantic Locations From GPS Data
Summary: Graph-based framework to mine semantic locations from GPS traces, modeling location-location and location-user links. Mutual reinforcement via random walks ties significance to user authority, visits, durations, and travel distance, scalable to 100M GPS records. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xin Cao
- 2. Gao Cong
- 3. Christian S. Jensen
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,821 | STMaker - A System to Make Sense of Trajectory Data | 2014 | VLDB | 6.726077e-05 |
| 9,048 | On Repairing Timestamps for Regular Interval Time Series | 2022 | VLDB | 4.3997447e-05 |
| 9,659 | Hyper-Local, Directions-Based Ranking of Places | 2011 | VLDB | 4.3067693e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 263 | OPTICS: Ordering Points To Identify the Clustering Structure | 1999 | SIGMOD | 0.00029955858 |
| 320 | ObjectRank: Authority-Based Keyword Search in Databases | 2004 | VLDB | 0.00027574254 |
| 2,020 | Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects | 2009 | VLDB | 9.7766925e-05 |
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