Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach
Summary: Introduces ranking cube for efficient top-k queries under multi-dimensional selections. Defines a rank-aware measure and a progressive, block-by-block retrieval algorithm; tackles the curse of dimensionality with ranking fragments, showing significant gains on SQL Server 2005. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Dong Xin
- 2. Jiawei Han
- 3. Hong Cheng
- 4. Xiaolei Li
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,650 | Secure kNN Computation on Encrypted Databases | 2009 | SIGMOD | 8.3691955e-05 |
| 3,911 | Progressive and Selective Merge: Computing Top-K with Ad-hoc Ranking Functions | 2007 | SIGMOD | 6.6343292e-05 |
| 3,963 | BibNetMiner: Mining Bibliographic Information Networks | 2008 | SIGMOD | 6.5813475e-05 |
| 4,328 | Sliding-Window Top-k Queries on Uncertain Streams | 2008 | VLDB | 6.2765138e-05 |
| 4,506 | Efficiently Answering Top-k Typicality Queries on Large Databases | 2007 | VLDB | 6.1273675e-05 |
| 5,774 | DataScope: Viewing Database Contents in Google Maps’ Way | 2007 | VLDB | 5.3286261e-05 |
| 6,381 | k-Hit Query: Top-k Query with Probabilistic Utility Function | 2015 | SIGMOD | 5.0839387e-05 |
| 8,505 | ARCube: Supporting Ranking Aggregate Queries in Partially Materialized Data Cubes | 2008 | SIGMOD | 4.4915213e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 19 of 19 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,162 | High-Dimensional OLAP: A Minimal Cubing Approach | 2004 | VLDB | 7.4622284e-05 |
| 3,542 | Extracting Top-K Insights from Multi-dimensional Data | 2017 | SIGMOD | 6.9896948e-05 |
| 3,665 | Ad-hoc Top-k Query Answering for Data Streams | 2007 | VLDB | 6.8631567e-05 |
| 12,143 | Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions | 2012 | VLDB | 4.1905499e-05 |
| 6,136 | RankSQL: Supporting Ranking Queries in Relational Database Management Systems | 2005 | VLDB | 5.1906626e-05 |
| 2,371 | Efficient Processing of Top-k Dominating Queries on Multi-Dimensional Data | 2007 | VLDB | 8.9443366e-05 |
| 1,207 | RankSQL: Query Algebra and Optimization for Relational Top-k Queries | 2005 | SIGMOD | 0.0001327437 |
| 8,505 | ARCube: Supporting Ranking Aggregate Queries in Partially Materialized Data Cubes | 2008 | SIGMOD | 4.4915213e-05 |
| 802 | Evaluating Top-k Selection Queries | 1999 | VLDB | 0.00016440813 |
| 7,273 | Efficient and Generic Evaluation of Ranked Queries | 2011 | SIGMOD | 4.775366e-05 |