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Online Aggregation

Summary: Online aggregation replaces batch-only queries with an interactive, progressive interface that exposes progress and lets users steer execution. Introduces random-order output, relative-rate control for aggregates, and running confidence intervals; implemented initially in PostgreSQL. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2945
Venue
SIGMOD
Year
1997
Pagerank
0.00077936311
Overall Rank
10 | 99.94%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 6 of 206 citing papers.

Rank Citing Paper Year Venue Pagerank
12,350 Enabling epsilon-Approximate Querying in Sensor Networks 2009 VLDB 5.1725247e-05
12,487 Randomized Algorithms for Data Reconciliation in Wide Area Aggregate Query Processing 2007 VLDB 5.1725247e-05
12,576 Online Estimation For Subset-Based SQL Queries 2005 VLDB 5.1725247e-05
12,618 Speculative Query Processing 2003 CIDR 5.1725247e-05
12,623 The Database Machine: Old Story, New Slant? 2003 CIDR 5.1725247e-05
12,652 How to Evaluate Multiple Range-Sum Queries Progressively 2002 PODS 5.1725247e-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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