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Mining Significant Semantic Locations From GPS Data

Summary: A graph-based framework mines semantically meaningful locations from massive GPS traces, modeling location–location and user–location relationships. Random-walk significance propagation jointly ranks locations and user authority, incorporating visits, dwell time, and travel distance; validated on 100M records. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10336
Venue
VLDB
Year
2010
Pagerank
5.8794105e-05
Overall Rank
6,435 | 55.86%
DOI
10.14778/1920841.1920968

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{cao_vldb10,
        title = {{Mining Significant Semantic Locations From GPS Data}},
        author = {Cao, Xin and Cong, Gao and Jensen, Christian S.},
        journal = {PVLDB},
        series = {{VLDB} '10},
        volume = {3},
        number = {1},
        pages = {1009--1020},
        doi = {10.14778/1920841.1920968},
        url = {https://doi.org/10.14778/1920841.1920968},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
5,116 STMaker–A System to Make Sense of Trajectory Data 2014 VLDB 6.358207e-05
9,199 On Repairing Timestamps for Regular Interval Time Series 2022 VLDB 5.3058708e-05
9,788 Hyper-Local, Directions-Based Ranking of Places 2011 VLDB 5.2209769e-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
285 ObjectRank: Authority-Based Keyword Search in Databases 2004 VLDB 0.00022365284
291 OPTICS: Ordering Points To Identify the Clustering Structure 1999 SIGMOD 0.00022264197
1,819 Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects 2009 VLDB 9.6810907e-05
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