SPIRE: Supporting Parameter-Driven Interactive Rule Mining and Exploration

Summary: SPIRE enables interactive mining of positive and negative rules at near-real-time speed for rapid exploration. It adds region-wise abstractions, positive-negative analysis, redundancy management, and visual exploration for exploratory queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h75658a0f86efb347
Venue: VLDB
Year: 2014
Pagerank: 4.9769913e-05
Overall Rank: 12,492 | 16.04%
DOI: 10.14778/2733004.2733053
PDF: Download (CC BY-NC-ND 3.0)

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

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

BibTeX Citation

@article{lin_vldb14,
        title = {{SPIRE: Supporting Parameter-Driven Interactive Rule Mining and Exploration}},
        author = {Lin, Xika and Mukherji, Abhishek and Rundensteiner, Elke A. and Ward, Matthew O.},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {13},
        pages = {1653},
        doi = {10.14778/2733004.2733053},
        url = {https://doi.org/10.14778/2733004.2733053},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
164	Mining Frequent Patterns without Candidate Generation	2000	SIGMOD	0.000273994
8,826	PARAS: A Parameter Space Framework for Online Association Mining	2013	VLDB	5.2679852e-05
12,541	PARAS: Interactive Parameter Space Exploration for Association Rule Mining	2013	SIGMOD	4.9769913e-05

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