PARAS: A Parameter Space Framework for Online Association Mining

Summary: PARAS is a parameter-space framework for online association rule mining that keeps final rule sets compact with stable-region abstractions over coarse-grained spaces. It exploits rule redundancy to support near real-time query-time resolution for three exploratory queries via the PSpace index, with 2–5 orders of magnitude speedups. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 10866
Venue: VLDB
Year: 2013
Pagerank: 5.3909781e-05
Overall Rank: 8,656 | 40.62%
DOI: 10.14778/2535569.2448953

Incoming Non-self Citations Over Time

Authors

1. Xika Lin (Worcester Polytechnic Institute)
2. Abhishek Mukherji (Worcester Polytechnic Institute)
3. Elke A. Rundensteiner (Worcester Polytechnic Institute)
4. Carolina Ruiz (Worcester Polytechnic Institute)
5. Matthew O. Ward (Worcester Polytechnic Institute)

BibTeX Citation

@article{lin_vldb13,
        title = {{PARAS: A Parameter Space Framework for Online Association Mining}},
        author = {Lin, Xika and Mukherji, Abhishek and Rundensteiner, Elke A. and Ruiz, Carolina and Ward, Matthew O.},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {3},
        doi = {10.14778/2535569.2448953},
        url = {https://doi.org/10.14778/2535569.2448953},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,127	Toward Computational Fact-Checking	2014	VLDB	7.7308958e-05
12,195	SPIRE: Supporting Parameter-Driven Interactive Rule Mining and Exploration	2014	VLDB	5.093636e-05
12,244	PARAS: Interactive Parameter Space Exploration for Association Rule Mining	2013	SIGMOD	5.093636e-05

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
161	Mining Frequent Patterns without Candidate Generation	2000	SIGMOD	0.00027981772
347	Tuning Database Configuration Parameters with iTuned	2009	VLDB	0.00020651582
456	Discovery of Multiple-Level Association Rules from Large Databases	1995	VLDB	0.00018124452
711	Beyond Market Baskets: Generalizing Association Rules to Correlations	1997	SIGMOD	0.00014713746
3,513	Variance Aware Optimization of Parameterized Queries	2010	SIGMOD	7.354613e-05
6,719	Exploratory Mining via Constrained Frequent Set Queries	1999	SIGMOD	5.7944032e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	240	An Effective Hash-Based Algorithm for Mining Association Rules	1995	SIGMOD
2	4,354	Online Association Rule Mining	1999	SIGMOD
3	4,154	A New SQL-like Operator for Mining Association Rules	1996	VLDB
4	6,689	Ratio Rules: A New Paradigm for Fast, Quantifiable Data Mining	1998	VLDB
5	4,640	Scalable Parallel Data Mining for Association Rules	1997	SIGMOD
6	456	Discovery of Multiple-Level Association Rules from Large Databases	1995	VLDB
7	462	Sampling Large Databases for Association Rules	1996	VLDB
8	558	An Efficient Algorithm for Mining Association Rules in Large Databases	1995	VLDB
9	12,922	Parallel Mining Algorithms for Generalized Association Rules with Classification Hierarchy	1998	SIGMOD
10	12,244	PARAS: Interactive Parameter Space Exploration for Association Rule Mining	2013	SIGMOD