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Set-based Similarity Search for Time Series

Summary: STS3 converts time series into sets and uses Jaccard similarity for k-NN search. With indexing, pruning, and approximation techniques, it achieves faster queries and competitive accuracy versus DTW on large datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5216
Venue
SIGMOD
Year
2016
Pagerank
5.649535e-05
Overall Rank
7,309 | 49.86%
DOI
10.1145/2882903.2882963

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{peng_sigmod16,
        title = {{Set-based Similarity Search for Time Series}},
        author = {Peng, Jinglin and Wang, Hongzhi and Li, Jianzhong and Gao, Hong},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2882963},
        url = {https://dl.acm.org/doi/10.1145/2882903.2882963},
        year = {2016}
}

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