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Uncertain Time-Series Similarity: Return to the Basics

Summary: Survey of modeling and processing uncertain time-series similarity; benchmarks 17 real datasets and compares existing approaches with two baselines. Finds temporal correlations as a crucial, overlooked factor; provides analytical evaluation and practical guidelines for practitioners in data management. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10588
Venue
VLDB
Year
2012
Pagerank
5.5845913e-05
Overall Rank
7,608 | 47.81%
DOI
10.14778/2350229.2350257

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{dallachiesa_vldb12,
        title = {{Uncertain Time-Series Similarity: Return to the Basics}},
        author = {Dallachiesa, Michele and Nushi, Besmira and Mirylenka, Katsiaryna and Palpanas, Themis},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {11},
        pages = {1662--1673},
        doi = {10.14778/2350229.2350257},
        url = {https://doi.org/10.14778/2350229.2350257},
        year = {2012}
}

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