Database Paper Browser

Back to papers

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
10081
Venue
VLDB
Year
2010
Pagerank
5.1838459e-05
Overall Rank
6,148 | 57.28%
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
2,029 On Complexity and Optimization of Expensive Queries in Complex Event Processing 2014 SIGMOD 9.7344839e-05
5,565 Determining the Currency of Data 2011 PODS 5.4298528e-05
8,154 Why Not Match: On Explanations of Event Pattern Queries 2021 SIGMOD 4.5708988e-05
8,719 Preference-aware Integration of Temporal Data 2015 VLDB 4.4564363e-05
9,588 Data Integration and Data Exchange: It’s Really About Time 2013 CIDR 4.3175708e-05
11,889 Cleaning Timestamps with Temporal Constraints 2016 VLDB 4.1905499e-05
Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers