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Randomized Algorithms for Data Reconciliation in Wide Area Aggregate Query Processing

Summary: Randomized algorithms enable efficient deployment of entity-resolution methods for wide-area, federated aggregate queries. They reconcile duplicates and inconsistencies across distributed sources without shipping raw data to a central coordinator, yielding accurate, approximate aggregates. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9617
Venue
VLDB
Year
2007
Pagerank
4.1905499e-05
Overall Rank
12,487 | 13.22%
DOI
-

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