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Swarm: Mining Relaxed Temporal Moving Object Clusters

Summary: Introduces swarms: moving-object groups that co-occur within arbitrary-shaped clusters at nonconsecutive timestamps, relaxing temporal continuity. ObjectGrowth mines all closed (discriminative) swarms via pruning and on-the-fly closure checking. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10311
Venue
VLDB
Year
2010
Pagerank
9.8211863e-05
Overall Rank
1,755 | 87.97%
DOI
10.14778/1920841.1920933

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{li_vldb10,
        title = {{Swarm: Mining Relaxed Temporal Moving Object Clusters}},
        author = {Li, Zhenhui and Ding, Bolin and Han, Jiawei and Kays, Roland},
        journal = {PVLDB},
        series = {{VLDB} '10},
        volume = {3},
        number = {1},
        pages = {723--734},
        doi = {10.14778/1920841.1920933},
        url = {https://doi.org/10.14778/1920841.1920933},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

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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
27 Fast Algorithms for Mining Association Rules 1994 VLDB 0.00052255472
221 Robust and Fast Similarity Search for Moving Object Trajectories 2005 SIGMOD 0.00024224879
303 On The Marriage of Lp-norms and Edit Distance 2004 VLDB 0.00021956234
918 Trajectory Clustering: A Partition-and-Group Framework 2007 SIGMOD 0.00013215285
1,885 Discovery of Convoys in Trajectory Databases 2008 VLDB 9.5362394e-05
8,693 MoveMine: Mining Moving Object Databases 2010 SIGMOD 5.3837142e-05
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