How to Quickly Find a Witness
Summary: Introduce the "witness" concept to decouple traversal from pruning in constrained itemset mining, enabling existing algorithms to handle arbitrary, non-(anti)monotone/convertible constraints. Provide efficient witness-finding for stable functions and variance constraints (var(S) ≤ c, ≥ c) with heuristics to accelerate mining. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Daniel Kifer
- 2. Johannes Gehrke
- 3. Cristian Bucila
- 4. Walker White
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD | 0.0010864752 |
| 1,626 | Exploratory Mining and Pruning Optimizations of Constrained Association Rules | 1998 | SIGMOD | 0.00011094469 |
| 4,919 | Optimization of Constrained Frequent Set Queries with 2-variable Constraints | 1999 | SIGMOD | 5.8256934e-05 |
| 6,465 | Data mining, Hypergraph Transversals, and Machine Learning | 1997 | PODS | 5.0530117e-05 |
| 6,623 | Exploratory Mining via Constrained Frequent Set Queries | 1999 | SIGMOD | 4.989399e-05 |
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