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STMaker–A System to Make Sense of Trajectory Data

Summary: STMaker automatically extracts semantically significant behaviors from raw spatiotemporal trajectories. It converts longitude–latitude–timestamp sequences into concise, human-readable textual summaries, demonstrated on real-world movement data. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11044
Venue
VLDB
Year
2014
Pagerank
6.358207e-05
Overall Rank
5,116 | 64.91%
DOI
10.14778/2733004.2733065

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{su_vldb14,
        title = {{STMaker–A System to Make Sense of Trajectory Data}},
        author = {Su, Han and Zheng, Kai and Zeng, Kai and Huang, Jiamin and Zhou, Xiaofang},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {13},
        pages = {1701--1704},
        doi = {10.14778/2733004.2733065},
        url = {https://doi.org/10.14778/2733004.2733065},
        year = {2014}
}

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