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 |
|---|---|---|---|---|
| 2,655 | Secure kNN Computation on Encrypted Databases | 2009 | SIGMOD | 8.3622816e-05 |
| 3,908 | Progressive and Selective Merge: Computing Top-K with Ad-hoc Ranking Functions | 2007 | SIGMOD | 6.6392878e-05 |
| 3,961 | BibNetMiner: Mining Bibliographic Information Networks | 2008 | SIGMOD | 6.5876809e-05 |
| 4,080 | Sliding-Window Top-k Queries on Uncertain Streams | 2008 | VLDB | 6.4652983e-05 |
| 4,504 | Efficiently Answering Top-k Typicality Queries on Large Databases | 2007 | VLDB | 6.1327917e-05 |
| 5,769 | DataScope: Viewing Database Contents in Google Maps’ Way | 2007 | VLDB | 5.3333819e-05 |
| 6,391 | k-Hit Query: Top-k Query with Probabilistic Utility Function | 2015 | SIGMOD | 5.0842079e-05 |
| 8,507 | ARCube: Supporting Ranking Aggregate Queries in Partially Materialized Data Cubes | 2008 | SIGMOD | 4.4955397e-05 |
Previous
Page 1 / 1
Next
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.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,157 | High-Dimensional OLAP: A Minimal Cubing Approach | 2004 | VLDB | 7.4656511e-05 |
| 3,546 | Extracting Top-K Insights from Multi-dimensional Data | 2017 | SIGMOD | 6.9870745e-05 |
| 3,665 | Ad-hoc Top-k Query Answering for Data Streams | 2007 | VLDB | 6.8633354e-05 |
| 12,135 | Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions | 2012 | VLDB | 4.1945683e-05 |
| 6,882 | RankSQL: Supporting Ranking Queries in Relational Database Management Systems | 2005 | VLDB | 4.8963901e-05 |
| 2,366 | Efficient Processing of Top-k Dominating Queries on Multi-Dimensional Data | 2007 | VLDB | 8.9523637e-05 |
| 1,262 | RankSQL: Query Algebra and Optimization for Relational Top-k Queries | 2005 | SIGMOD | 0.00012986539 |
| 8,507 | ARCube: Supporting Ranking Aggregate Queries in Partially Materialized Data Cubes | 2008 | SIGMOD | 4.4955397e-05 |
| 805 | Evaluating Top-k Selection Queries | 1999 | VLDB | 0.00016437265 |
| 7,276 | Efficient and Generic Evaluation of Ranked Queries | 2011 | SIGMOD | 4.7798595e-05 |