Incremental Rule Discovery in Response to Parameter Updates

Summary: Incremental rule discovery under threshold changes: compute added/removed rules as sigma and/or delta change. Three incremental algorithms (Delta-sigma, Delta-delta, and both) enable bounded, parallel updates with up to 658x batch speedups on real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 7297
Venue: SIGMOD
Year: 2025
Pagerank: 5.093636e-05
Overall Rank: 10,766 | 26.14%
DOI: 10.1145/3725312

Incoming Non-self Citations Over Time

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

Authors

1. Haoxian Chen (ShanghaiTech University)
2. Wenfei Fan (Beihang University; Shenzhen University; University of Edinburgh)
3. Jiaye Zheng (ShanghaiTech University)

BibTeX Citation

@inproceedings{chen_sigmod25,
        title = {{Incremental Rule Discovery in Response to Parameter Updates}},
        author = {Chen, Haoxian and Fan, Wenfei and Zheng, Jiaye},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3725312},
        url = {https://dl.acm.org/doi/10.1145/3725312},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 26 of 26 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
33	Consistent Query Answers in Inconsistent Databases	1999	PODS	0.00049907763
112	HoloClean: Holistic Data Repairs with Probabilistic Inference	2017	VLDB	0.00032801121
161	Mining Frequent Patterns without Candidate Generation	2000	SIGMOD	0.00027981772
248	Evaluation of entity resolution approaches on real-world match problems	2010	VLDB	0.00023278354
462	Sampling Large Databases for Association Rules	1996	VLDB	0.00018065337
618	A Hybrid Approach to Functional Dependency Discovery	2016	SIGMOD	0.00015711835
1,033	On Generating Near-Optimal Tableaux for Conditional Functional Dependencies	2008	VLDB	0.00012529852
1,465	Synthesizing Entity Matching Rules by Examples	2018	VLDB	0.00010689571
1,500	Efficient Discovery of Approximate Dependencies	2018	VLDB	0.00010561098
1,741	Efficient Denial Constraint Discovery with Hydra	2018	VLDB	9.8755846e-05
1,955	Discovery of Approximate (and Exact) Denial Constraints	2020	VLDB	9.4166032e-05
2,685	Approximate Denial Constraints	2020	VLDB	8.2594662e-05
3,441	A Statistical Perspective on Discovering Functional Dependencies in Noisy Data	2020	SIGMOD	7.4138323e-05
3,596	On the Complexity of Query Result Diversification	2013	VLDB	7.2722683e-05
4,023	Smurf: Self-Service String Matching Using Random Forests	2019	VLDB	6.949387e-05
4,443	Incrementalizing Graph Algorithms	2021	SIGMOD	6.7004839e-05
4,696	Error-bounded Sampling for Analytics on Big Sparse Data	2014	VLDB	6.557612e-05
4,832	Association Rules with Graph Patterns	2015	VLDB	6.4877e-05
5,391	MDedup: Duplicate Detection with Matching Dependencies	2020	VLDB	6.2343031e-05
6,403	Parallel Discrepancy Detection and Incremental Detection	2021	VLDB	5.8859374e-05
6,720	Fast Incremental Discovery of Pointwise Order Dependencies	2020	VLDB	5.794237e-05
9,427	Discovering Top-k Rules using Subjective and Objective Criteria	2023	SIGMOD	5.271035e-05
9,647	Rock: Cleaning Data by Embedding ML in Logic Rules	2024	SIGMOD	5.2430158e-05
10,111	Parallel Rule Discovery from Large Datasets by Sampling	2022	SIGMOD	5.1347137e-05
11,212	Capturing More Associations by Referencing External Graphs	2024	VLDB	5.093636e-05
11,424	Splitting Tuples of Mismatched Entities	2023	SIGMOD	5.093636e-05

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