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Calibrating Trajectory Data for Similarity-based Analysis

Summary: Introduces an anchor-based calibration to unify heterogeneous trajectory sampling for better similarity. Studies four anchor types, develops geometry-based and ML-driven model-based calibration, and demonstrates gains on real trajectory data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4772
Venue
SIGMOD
Year
2013
Pagerank
7.0745507e-05
Overall Rank
3,849 | 73.60%
DOI
10.1145/2463676.2465303

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{su_sigmod13,
        title = {{Calibrating Trajectory Data for Similarity-based Analysis}},
        author = {Su, Han and Zheng, Kai and Wang, Haozhou and Huang, Jiamin and Zhou, Xiaofang},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2465303},
        url = {https://dl.acm.org/doi/10.1145/2463676.2465303},
        year = {2013}
}

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