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ARCube: Supporting Ranking Aggregate Queries in Partially Materialized Data Cubes

Summary: ARCube introduces a unified partial-cube structure for ranking aggregates in partially materialized data cubes. A candidate generation/verification framework uses guiding cells with a pruning rule (prune a guiding cell, prune descendants) and a chunked, memory-bounded execution to verify many candidates; yields order-of-magnitude speedups and broader ranking-aggregate support over prior work. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3980
Venue
SIGMOD
Year
2008
Pagerank
4.4915213e-05
Overall Rank
8,505 | 40.90%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
3,542 Extracting Top-K Insights from Multi-dimensional Data 2017 SIGMOD 6.9896948e-05
3,820 Promotion Analysis in Multi-Dimensional Space 2009 VLDB 6.7266035e-05
3,878 Data Canopy: Accelerating Exploratory Statistical Analysis 2017 SIGMOD 6.6669911e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 23 of 23 cited papers.

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

Rank Cited Paper Year Venue Pagerank
8 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0015436578
11 Implementing Data Cubes Efficiently 1996 SIGMOD 0.0011695087
368 An Array-Based Algorithm for Simultaneous Multidimensional Aggregates 1997 SIGMOD 0.00025508459
469 On Saying "Enough Already!" in SQL 1997 SIGMOD 0.00022397468
475 Bottom-Up Computation of Sparse and Iceberg CUBEs 1999 SIGMOD 0.00022238407
598 Computing Iceberg Queries Efficiently 1998 VLDB 0.00019431661
1,023 Materialized View Selection for Multidimensional Datasets* 1998 VLDB 0.00014601981
1,093 Minimal Probing: Supporting Expensive Predicates for Top-k Queries 2002 SIGMOD 0.00014123221
1,202 SPARK: Top-k Keyword Query in Relational Databases 2007 SIGMOD 0.0001333126
1,207 RankSQL: Query Algebra and Optimization for Relational Top-k Queries 2005 SIGMOD 0.0001327437
1,890 Caching Multidimensional Queries Using Chunks 1998 SIGMOD 0.0001018961
1,967 Efficient Computation of Iceberg Cubes with Complex Measures 2001 SIGMOD 9.9108189e-05
2,014 IO-Top-k: Index-access Optimized Top-k Query Processing 2006 VLDB 9.7982231e-05
2,195 Star-Cubing: Computing Iceberg Cubes by Top-Down and Bottom-Up Integration 2003 VLDB 9.3239483e-05
2,249 Rank-aware Query Optimization 2004 SIGMOD 9.1956569e-05
2,665 Dwarf: Shrinking the PetaCube 2002 SIGMOD 8.3505169e-05
2,936 Answering Top-k Queries Using Views 2006 VLDB 7.8579393e-05
3,162 High-Dimensional OLAP: A Minimal Cubing Approach 2004 VLDB 7.4622284e-05
3,585 Quotient Cube: How to Summarize the Semantics of a Data Cube 2002 VLDB 6.9408892e-05
3,809 Supporting Ad-hoc Ranking Aggregates 2006 SIGMOD 6.7413981e-05
4,506 Efficiently Answering Top-k Typicality Queries on Large Databases 2007 VLDB 6.1273675e-05
4,637 Context-Sensitive Ranking 2006 SIGMOD 6.0246358e-05
4,718 Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach 2006 VLDB 5.9664602e-05
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