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Cleaning Timestamps with Temporal Constraints

Summary: Repairing dirty timestamps under temporal constraints for reliable provenance and queries. Identifies a compact candidate set guaranteeing an optimal repair, with pruning-based algorithms, and shows superior performance on real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11359
Venue
VLDB
Year
2016
Pagerank
4.1945683e-05
Overall Rank
11,881 | 17.35%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,511 The Best of Both Worlds: On Repairing Timestamps and Attribute Values for Multivariate Time Series 2025 SIGMOD 4.1945683e-05
11,175 Grouping Time Series for Efficient Columnar Storage 2023 SIGMOD 4.1945683e-05
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