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Mining Compressed Frequent-Pattern Sets

Summary: Compresses enormous frequent-pattern outputs by δ-clustering patterns and selecting representatives—an NP-hard set-cover-like problem. Greedy RPglobal (bounded) and RPlocal (fast) achieve near-identical quality, reducing closed patterns nearly 100×; hybridization balances quality and efficiency. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9540
Venue
VLDB
Year
2005
Pagerank
7.5198821e-05
Overall Rank
3,324 | 77.20%
DOI
-

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Authors

BibTeX Citation

@article{xin_vldb05,
        title = {{Mining Compressed Frequent-Pattern Sets}},
        author = {Xin, Dong and Han, Jiawei and Yan, Xifeng and Cheng, Hong},
        journal = {PVLDB},
        series = {{VLDB} '05},
        pages = {709},
        year = {2005}
}

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