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 (University of Illinois Urbana-Champaign)
- 2. Jiawei Han (University of Illinois Urbana-Champaign)
- 3. Hong Cheng (University of Illinois Urbana-Champaign)
- 4. Xiaolei Li (University of Illinois Urbana-Champaign)
BibTeX Citation
@article{xin_vldb06,
title = {{Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach}},
author = {Xin, Dong and Han, Jiawei and Cheng, Hong and Li, Xiaolei},
journal = {PVLDB},
series = {{VLDB} '06},
pages = {463--474},
doi = {10.14778/1164135.1164180},
url = {https://doi.org/10.14778/1164135.1164180},
year = {2006}
}
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,307 | Secure kNN Computation on Encrypted Databases | 2009 | SIGMOD | 8.6665657e-05 |
| 3,326 | Sliding-Window Top-k Queries on Uncertain Streams | 2008 | VLDB | 7.4227632e-05 |
| 3,566 | Progressive and Selective Merge: Computing Top-K with Ad-hoc Ranking Functions | 2007 | SIGMOD | 7.2015969e-05 |
| 4,408 | Efficiently Answering Top-k Typicality Queries on Large Databases | 2007 | VLDB | 6.6122752e-05 |
| 5,555 | BibNetMiner: Mining Bibliographic Information Networks | 2008 | SIGMOD | 6.0858703e-05 |
| 5,894 | DataScope: Viewing Database Contents in Google Maps' Way | 2007 | VLDB | 5.9563715e-05 |
| 6,065 | k-Hit Query: Top-k Query with Probabilistic Utility Function | 2015 | SIGMOD | 5.8978409e-05 |
| 8,814 | ARCube: Supporting Ranking Aggregate Queries in Partially Materialized Data Cubes | 2008 | SIGMOD | 5.2710039e-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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|---|---|---|---|---|
| 1 | 3,841 | High-Dimensional OLAP: A Minimal Cubing Approach | 2004 | VLDB |
| 2 | 3,188 | Extracting Top-K Insights from Multi-dimensional Data | 2017 | SIGMOD |
| 3 | 3,379 | Ad-hoc Top-k Query Answering for Data Streams | 2007 | VLDB |
| 4 | 12,622 | Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions | 2012 | VLDB |
| 5 | 5,941 | RankSQL: Supporting Ranking Queries in Relational Database Management Systems | 2005 | VLDB |
| 6 | 2,893 | Efficient Processing of Top-k Dominating Queries on Multi-Dimensional Data | 2007 | VLDB |
| 7 | 961 | RankSQL: Query Algebra and Optimization for Relational Top-k Queries | 2005 | SIGMOD |
| 8 | 8,814 | ARCube: Supporting Ranking Aggregate Queries in Partially Materialized Data Cubes | 2008 | SIGMOD |
| 9 | 643 | Evaluating Top-k Selection Queries | 1999 | VLDB |
| 10 | 7,394 | Efficient and Generic Evaluation of Ranked Queries | 2011 | SIGMOD |