Mining Frequent Closed Cubes in 3D Datasets
Summary: Defines frequent closed cube (FCC), generalizing 2D frequent closed patterns to 3D datasets. Proposes Representative Slice Mining (RSM) to adapt 2D FCP methods for FCCs and CubeMiner for direct 3D mining; experiments show RSM excels when a dimension is small, CubeMiner dominates otherwise. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Liping Ji
- 2. Kian-Lee Tan
- 3. Anthony K. H. Tung
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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 |
|---|---|---|---|---|
| 36 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00076161096 |
| 4,362 | triCluster: An Effective Algorithm for Mining Coherent Clusters in 3D Microarray Data | 2005 | SIGMOD | 6.2556473e-05 |
| 6,253 | Turbo-charging Vertical Mining of Large Databases | 2000 | SIGMOD | 5.1368564e-05 |
| 6,782 | On the Discovery of Interesting Patterns in Association Rules | 1998 | VLDB | 4.9272477e-05 |
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