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Qetch: Time Series Querying with Expressive Sketches

Summary: Canvas-based, sketch-first time-series querying with a top-down design, not tied to DTW/ED-style sketches. Scale-free matching tolerates rough user sketches, supports annotations (span, amplitude, offset, repetition/negation), and multi-series, time-ordered queries via horizontal sketch placement, keeping the canvas as the primary query surface. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5570
Venue
SIGMOD
Year
2018
Pagerank
6.9840567e-05
Overall Rank
3,968 | 72.78%
DOI
10.1145/3183713.3193547

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{mannino_sigmod18,
        title = {{Qetch: Time Series Querying with Expressive Sketches}},
        author = {Mannino, Miro and Abouzied, Azza},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3193547},
        url = {https://dl.acm.org/doi/10.1145/3183713.3193547},
        year = {2018}
}

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

Rank Cited Paper Year Venue Pagerank
3,322 RINSE: Interactive Data Series Exploration with ADS+ 2015 VLDB 7.5213802e-05
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