BHUNT: Automatic Discovery of Fuzzy Algebraic Constraints in Relational Data
Summary: BHUNT discovers fuzzy algebraic constraints between column pairs in data via sampling, segmentation or clustering, with tolerance-interval bounds on exceptions. In optimization mode, it partitions normal and exception records to guide access. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Paul G. Brown
- 2. Peter J. Haas
Incoming Citations (Sorted by Pagerank)
Showing 23 of 23 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 141 | Selectivity Estimation Without the Attribute Value Independence Assumption | 1997 | VLDB | 0.00041786333 |
| 182 | LEO - DB2's LEarning Optimizer | 2001 | VLDB | 0.00036962631 |
| 790 | Exploiting Statistics on Query Expressions for Optimization | 2002 | SIGMOD | 0.0001663283 |
| 842 | Independence is Good: Dependency-Based Histogram Synopses for High-Dimensional Data | 2001 | SIGMOD | 0.00016031973 |
| 846 | Self-tuning Database Technology and Information Services: from Wishful Thinking to Viable Engineering | 2002 | VLDB | 0.00015997985 |
| 1,400 | Wavelet Synopses with Error Guarantees | 2002 | SIGMOD | 0.00012191684 |
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