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General purpose database summarization

Summary: Message-oriented architecture for large database summarization; reduces a table via rewriting/generalization with incremental maintenance and XML DB support. Three families—aggregate computation, semantic compression (SC), and metadata-based SC (MDBSC)—plus hybrids; focuses on obfuscation, storage/bandwidth optimization, and approximate queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9353
Venue
VLDB
Year
2005
Pagerank
6.9925094e-05
Overall Rank
3,539 | 75.41%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
2,312 Extreme Visualization: Squeezing a Billion Records into a Million Pixels 2008 SIGMOD 9.0599303e-05
10,317 Schuyler: Self-Supervised Clustering of Tables in Relational Databases 2026 VLDB 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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