Beyond Itemsets: Mining Frequent Featuresets over Structured Items
Summary: Extends frequent itemset mining to structured items by using per-item feature sets and mining frequent featuresets from user sessions. Proposes a featureset-uncertainty model with probabilistic featuresets learned by constrained least squares, plus diverse mining algorithms and experimental evaluation. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Saravanan Thirumuruganathan (University of Texas)
- 2. Habibur Rahman (University of Texas)
- 3. Sofiane Abbar (Qatar Computing Research Institute)
- 4. Gautam Das (University of Texas)
BibTeX Citation
@article{thirumuruganathan_vldb15,
title = {{Beyond Itemsets: Mining Frequent Featuresets over Structured Items}},
author = {Thirumuruganathan, Saravanan and Rahman, Habibur and Abbar, Sofiane and Das, Gautam},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {3},
pages = {257--268},
doi = {10.14778/2735508.2735511},
url = {https://doi.org/10.14778/2735508.2735511},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD | 0.0006567919 |
| 27 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00052255472 |
| 78 | ULDBs: Databases with Uncertainty and Lineage | 2006 | VLDB | 0.00036571789 |
| 462 | Sampling Large Databases for Association Rules | 1996 | VLDB | 0.00018065337 |
| 6,120 | Finding Frequent Items in Probabilistic Data | 2008 | SIGMOD | 5.9693818e-05 |
| 7,657 | Mining Frequent Itemsets over Uncertain Databases | 2012 | VLDB | 5.5739357e-05 |
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