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TraClass: Trajectory Classification Using Hierarchical Region-Based and Trajectory-Based Clustering

Summary: TraClass proposes hierarchical feature generation for trajectories, partitioning paths to reveal parts. Regional clustering yields region features; trajectory clustering yields movement features; together, multi-level features improve classification. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9929
Venue
VLDB
Year
2008
Pagerank
8.2888028e-05
Overall Rank
2,656 | 81.78%
DOI
10.14778/1453856.1453972

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{lee_vldb08,
        title = {{TraClass: Trajectory Classification Using Hierarchical Region-Based and Trajectory-Based Clustering}},
        author = {Lee, Jae-Gil and Han, Jiawei and Li, Xiaolei and Gonzalez, Hector},
        journal = {PVLDB},
        series = {{VLDB} '08},
        volume = {1},
        number = {1},
        pages = {1081--1092},
        doi = {10.14778/1453856.1453972},
        url = {https://doi.org/10.14778/1453856.1453972},
        year = {2008}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
918 Trajectory Clustering: A Partition-and-Group Framework 2007 SIGMOD 0.00013215285
4,858 Building Hierarchical Classifiers Using Class Proximity 1999 VLDB 6.4751031e-05
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