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Recognizing Patterns in Streams with Imprecise Timestamps

Summary: Presents a temporal model assigning time intervals to imprecise events, redefining pattern evaluation under uncertainty. Proposes two eval frameworks with efficient algorithms; experiments show interval-based patterns outperform point-based ones. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10271
Venue
VLDB
Year
2010
Pagerank
6.0920784e-05
Overall Rank
5,776 | 60.38%
DOI
10.14778/1920841.1920875

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhang_vldb10,
        title = {{Recognizing Patterns in Streams with Imprecise Timestamps}},
        author = {Zhang, Haopeng and Diao, Yanlei and Immerman, Neil},
        journal = {PVLDB},
        series = {{VLDB} '10},
        volume = {3},
        number = {1},
        pages = {244--255},
        doi = {10.14778/1920841.1920875},
        url = {https://doi.org/10.14778/1920841.1920875},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
1,547 On Complexity and Optimization of Expensive Queries in Complex Event Processing 2014 SIGMOD 0.00010394989
5,166 Determining the Currency of Data 2011 PODS 6.3370824e-05
8,388 Why Not Match: On Explanations of Event Pattern Queries 2021 SIGMOD 5.4364073e-05
8,946 Preference-aware Integration of Temporal Data 2015 VLDB 5.3479739e-05
9,726 Data Integration and Data Exchange: It’s Really About Time 2013 CIDR 5.2302483e-05
12,081 Cleaning Timestamps with Temporal Constraints 2016 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

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