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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
10080
Venue
VLDB
Year
2010
Pagerank
5.1889367e-05
Overall Rank
6,144 | 57.26%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
2,031 On Complexity and Optimization of Expensive Queries in Complex Event Processing 2014 SIGMOD 9.7377256e-05
5,557 Determining the Currency of Data 2011 PODS 5.435361e-05
8,149 Why Not Match: On Explanations of Event Pattern Queries 2021 SIGMOD 4.5752863e-05
8,722 Preference-aware Integration of Temporal Data 2015 VLDB 4.4606662e-05
9,551 Data Integration and Data Exchange: It’s Really About Time 2013 CIDR 4.3255102e-05
11,881 Cleaning Timestamps with Temporal Constraints 2016 VLDB 4.1945683e-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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