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Efficacious Data Cube Exploration by Semantic Summarization and Compression

Summary: Proposes quotient cube, semantic summarization and compression that cluster cube cells into equivalence classes while preserving roll-up semantics. Shows compact structures and querying algorithms with maintenance; SOCQET demo for interactive OLAP. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9073
Venue
VLDB
Year
2003
Pagerank
4.4792752e-05
Overall Rank
8,640 | 39.90%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
11,026 Improving Graph Compression for Efficient Resource-Constrained Graph Analytics 2024 VLDB 4.1945683e-05
11,224 Homomorphic Compression: Making Text Processing on Compression Unlimited 2023 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
3,590 Quotient Cube: How to Summarize the Semantics of a Data Cube 2002 VLDB 6.9421381e-05
4,005 QC-Trees: An Efficient Summary Structure for Semantic OLAP 2003 SIGMOD 6.5414308e-05
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