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Minimal Probing: Supporting Expensive Predicates for Top-k Queries

Summary: Necessary-probe principle for top-k queries with expensive predicates (external UDFs, fuzzy similarity) that defy zero-time indexing. MPro is provably optimal, parallelizable, and dramatically reduces probes versus full probing; demonstrated on real-estate and synthetic data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h6679cdb7e9f13f02
Venue
SIGMOD
Year
2002
Pagerank
0.00013521251
Overall Rank
840 | 94.38%
DOI
10.1145/564691.564731

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chang_sigmod02,
        title = {{Minimal Probing: Supporting Expensive Predicates for Top-k Queries}},
        author = {Chang, Kevin Chen-Chuan and Hwang, Seung-won},
        series = {{SIGMOD} '02},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/564691.564731},
        url = {https://dl.acm.org/doi/10.1145/564691.564731},
        year = {2002}
}

Incoming Citations (Sorted by Pagerank)

Showing 32 of 32 citing papers.

Rank Citing Paper Year Venue Pagerank
505 Supporting Top-k Join Queries in Relational Databases 2003 VLDB 0.00017162373
941 RankSQL: Query Algebra and Optimization for Relational Top-k Queries 2005 SIGMOD 0.00012938573
947 SPARK: Top-k Keyword Query in Relational Databases 2007 SIGMOD 0.00012910239
1,447 Continuous Monitoring of Top-k Queries over Sliding Windows 2006 SIGMOD 0.00010604169
1,539 Top-k Query Evaluation with Probabilistic Guarantees 2004 VLDB 0.00010292787
1,641 Efficient Search for the Top-k Probable Nearest Neighbors in Uncertain Databases 2008 VLDB 9.9814769e-05
1,649 Relaxing Join and Selection Queries 2006 VLDB 9.9699016e-05
1,712 Rank-aware Query Optimization 2004 SIGMOD 9.7961248e-05
2,019 IO-Top-k: Index-access Optimized Top-k Query Processing 2006 VLDB 9.1666472e-05
2,406 Integrating DB and IR Technologies: What is the Sound of One Hand Clapping? * 2005 CIDR 8.4962449e-05
2,566 Answering Top-k Queries Using Views 2006 VLDB 8.2679821e-05
2,777 Approximate Selection with Guarantees using Proxies 2020 VLDB 8.0101016e-05
2,880 KLEE: A Framework for Distributed Top-k Query Algorithms 2005 VLDB 7.8948229e-05
3,288 An Efficient and Versatile Query Engine for TopX Search 2005 VLDB 7.4398818e-05
3,623 Best Position Algorithms for Top-k Queries 2007 VLDB 7.1347556e-05
3,793 Supporting Ad-hoc Ranking Aggregates 2006 SIGMOD 6.9967739e-05
3,819 Querying Structured Text in an XML Database 2003 SIGMOD 6.9825548e-05
4,668 Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach 2006 VLDB 6.4622135e-05
5,298 Top-K Structural Diversity Search in Large Networks 2013 VLDB 6.1768321e-05
5,954 RankSQL: Supporting Ranking Queries in Relational Database Management Systems 2005 VLDB 5.9176407e-05
6,544 Moirae: History-Enhanced Monitoring 2007 CIDR 5.7329952e-05
7,348 Anytime Measures for Top-k Algorithms 2007 VLDB 5.5302579e-05
7,413 Efficient and Generic Evaluation of Ranked Queries 2011 SIGMOD 5.516158e-05
7,521 Boolean + Ranking: Querying a Database by K-Constrained Optimization 2006 SIGMOD 5.4881075e-05
7,981 Computing Immutable Regions for Subspace Top-k Queries 2013 VLDB 5.3964641e-05
8,213 Distributed Threshold Querying of General Functions by a Difference of Monotonic Representation 2011 VLDB 5.3607592e-05
8,521 Sideway Value Algebra for Object-Relational Databases 2002 VLDB 5.309662e-05
8,841 ARCube: Supporting Ranking Aggregate Queries in Partially Materialized Data Cubes 2008 SIGMOD 5.2511874e-05
8,861 Unbiased Estimation of Size and Other Aggregates Over Hidden Web Databases 2010 SIGMOD 5.2477452e-05
12,425 Query Reranking As A Service 2016 VLDB 4.9605343e-05
12,648 Optimal Top-k Generation of Attribute Combinations based on Ranked Lists 2012 SIGMOD 4.9605343e-05
12,834 Privacy Preservation of Aggregates in Hidden Databases: Why and How? 2009 SIGMOD 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

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