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SENSOR: Data-driven Construction of Sketch-based Visual Query Interfaces for Time Series Data

Summary: SENSOR automatically constructs sketch-based visual query interfaces for time-series datasets. It mines VST-aware shapelets as representative objects, enabling more effective top-down/bottom-up search and portability across domains. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13042
Venue
VLDB
Year
2022
Pagerank
5.7409522e-05
Overall Rank
6,912 | 52.58%
DOI
10.14778/3554821.3554866

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{yan_vldb22,
        title = {{SENSOR: Data-driven Construction of Sketch-based Visual Query Interfaces for Time Series Data}},
        author = {Yan, Li and Xu, Nerissa and Li, Guozhong and Bhowmick, Sourav S and Choi, Byron and Xu, Jianliang},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {12},
        pages = {3650--3653},
        doi = {10.14778/3554821.3554866},
        url = {https://doi.org/10.14778/3554821.3554866},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
6,959 Time Series Data Mining: A Unifying View 2023 VLDB 5.7303405e-05
11,316 DeepSketch: A Query Sketching Interface for Deep Time Series Similarity Search 2024 VLDB 5.093636e-05
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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.

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