DBScholar

Back to papers

PARAS: Interactive Parameter Space Exploration for Association Rule Mining

Summary: PARAS enables interactive, near real-time association rule mining via stable region abstractions and redundancy management. Parameter-space-centric queries support rapid comparison of rules across parameter settings, reducing trial-and-error for analysts. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4725
Venue
SIGMOD
Year
2013
Pagerank
5.093636e-05
Overall Rank
12,244 | 16.00%
DOI
10.1145/2463676.2465245

Incoming Non-self Citations Over Time

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

Authors

BibTeX Citation

@inproceedings{mukherji_sigmod13,
        title = {{PARAS: Interactive Parameter Space Exploration for Association Rule Mining}},
        author = {Mukherji, Abhishek and Lin, Xika and Botaish, Christopher R. and Whitehouse, Jason and Rundensteiner, Elke A. and Ward, Matthew O. and Ruiz, Carolina},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2465245},
        url = {https://dl.acm.org/doi/10.1145/2463676.2465245},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
12,195 SPIRE: Supporting Parameter-Driven Interactive Rule Mining and Exploration 2014 VLDB 5.093636e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 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
8,656 PARAS: A Parameter Space Framework for Online Association Mining 2013 VLDB 5.3909781e-05
Previous Page 1 / 1 Next

Semantically Similar Papers