Efficiently Answering Top-k Typicality Queries on Large Databases
Summary: Introduces top-k typicality queries, including simple and discriminative typicality, to identify representative or class-distinguishing objects. Avoids quadratic exact computation via linear randomized tournaments and VP-tree/Local Typicality Tree approximations with quality guarantees. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ming Hua (Simon Fraser University)
- 2. Jian Pei (Simon Fraser University)
- 3. Ada W. C. Fu (Chinese University of Hong Kong)
- 4. Xuemin Lin (National Information and Communications Technology Australia; University of New South Wales)
- 5. Ho-Fung Leung (Chinese University of Hong Kong)
BibTeX Citation
@article{hua_vldb07,
title = {{Efficiently Answering Top-k Typicality Queries on Large Databases}},
author = {Hua, Ming and Pei, Jian and Fu, Ada W. C. and Lin, Xuemin and Leung, Ho-Fung},
journal = {PVLDB},
series = {{VLDB} '07},
pages = {890},
year = {2007}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,481 | Tighter Estimation using Bottom k Sketches | 2008 | VLDB | 7.376137e-05 |
| 3,599 | Sliding-Window Top-k Queries on Uncertain Streams | 2008 | VLDB | 7.2710351e-05 |
| 3,881 | Using Trees to Depict a Forest | 2009 | VLDB | 7.0490549e-05 |
| 5,138 | Robust and Efficient Algorithms for Rank Join Evaluation | 2009 | SIGMOD | 6.3495536e-05 |
| 5,965 | Answering Top-k Representative Queries on Graph Databases | 2014 | SIGMOD | 6.0256454e-05 |
| 8,649 | ARCube: Supporting Ranking Aggregate Queries in Partially Materialized Data Cubes | 2008 | SIGMOD | 5.3916641e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0010828372 |
| 1,513 | Continuous Monitoring of Top-k Queries over Sliding Windows | 2006 | SIGMOD | 0.00010530872 |
| 2,525 | Answering Top-k Queries Using Views | 2006 | VLDB | 8.4653166e-05 |
| 4,587 | Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach | 2006 | VLDB | 6.6170389e-05 |
| 7,641 | Spatially-Decaying Aggregation Over a Network: Model and Algorithms | 2004 | SIGMOD | 5.5766204e-05 |
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