Discovering Top-k Rules using Subjective and Objective Criteria

Summary: Proposes entity-enhancing rules (REEs) and a bi-criteria model that blends objective support and confidence with user-specific subjective criteria learned via active learning for top-k rule discovery. Introduces top-k and any-time lazy-discovery algorithms, parallelizable to reduce runtime with more cores, delivering up to 134x speedups over traditional rule discovery on real and synthetic data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h3ecd580b3d94239b
Venue: SIGMOD
Year: 2023
Pagerank: 5.1527671e-05
Overall Rank: 9,608 | 35.41%
DOI: 10.1145/3588924

Incoming Non-self Citations Over Time

Authors

1. Wenfei Fan (Beihang University; Shenzhen University; University of Edinburgh)
2. Ziyan Han (Beihang University)
3. Yaoshu Wang (Shenzhen University)
4. Min Xie (Shenzhen University)

BibTeX Citation

@inproceedings{fan_sigmod23,
        title = {{Discovering Top-k Rules using Subjective and Objective Criteria}},
        author = {Fan, Wenfei and Han, Ziyan and Wang, Yaoshu and Xie, Min},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3588924},
        url = {https://dl.acm.org/doi/10.1145/3588924},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
7,872	Rock: Cleaning Data by Embedding ML in Logic Rules	2024	SIGMOD	5.4362062e-05
9,458	HyperBlocker: Accelerating Rule-based Blocking in Entity Resolution using GPUs	2025	VLDB	5.173446e-05
10,106	Efficient Differential Dependency Discovery	2024	VLDB	5.0789354e-05
10,186	Discovering Top-k Relevant and Diversified Rules	2024	SIGMOD	5.0651993e-05
11,053	Efficient Partition-based Approaches for Diversified Top-k Subgraph Matching	2026	VLDB	4.9793485e-05
11,188	Incremental Rule Discovery in Response to Parameter Updates	2025	SIGMOD	4.9793485e-05
11,635	Rock: Cleaning Data with both ML and Logic Rules	2024	VLDB	4.9793485e-05
11,738	Splitting Tuples of Mismatched Entities	2023	SIGMOD	4.9793485e-05

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	0.00049349003
104	HoloClean: Holistic Data Repairs with Probabilistic Inference	2017	VLDB	0.00033690989
158	Deep Learning for Entity Matching: A Design Space Exploration	2018	SIGMOD	0.00028046388
164	Mining Frequent Patterns without Candidate Generation	2000	SIGMOD	0.00027412227
350	Discovering Denial Constraints	2013	VLDB	0.00020253521
457	Distributed Representations of Tuples for Entity Resolution	2018	VLDB	0.00017907103
603	A Hybrid Approach to Functional Dependency Discovery	2016	SIGMOD	0.00015699254
721	Dynamic Itemset Counting and Implication Rules for Market Basket Data	1997	SIGMOD	0.0001452081
727	Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms	2015	VLDB	0.00014443394
883	HoloDetect: Few-Shot Learning for Error Detection	2019	SIGMOD	0.00013268059
1,031	On Generating Near-Optimal Tableaux for Conditional Functional Dependencies	2008	VLDB	0.00012405065
1,488	Efficient Discovery of Approximate Dependencies	2018	VLDB	0.00010517437
1,493	Synthesizing Entity Matching Rules by Examples	2018	VLDB	0.00010505174
1,619	Efficient Denial Constraint Discovery with Hydra	2018	VLDB	0.00010055625
1,805	Raha: A Configuration-Free Error Detection System	2019	SIGMOD	9.59842e-05
2,323	ZeroER: Entity Resolution using Zero Labeled Examples	2020	SIGMOD	8.6348884e-05
2,443	Approximate Denial Constraints	2020	VLDB	8.4586656e-05
2,514	Deep Learning for Blocking in Entity Matching: A Design Space Exploration	2021	VLDB	8.3648432e-05
3,193	A Statistical Perspective on Discovering Functional Dependencies in Noisy Data	2020	SIGMOD	7.5505481e-05
3,791	SLiMFast: Guaranteed Results for Data Fusion and Source Reliability	2017	SIGMOD	7.0189865e-05
4,107	Smurf: Self-Service String Matching Using Random Forests	2019	VLDB	6.8026037e-05
4,858	Association Rules with Graph Patterns	2015	VLDB	6.3793644e-05
5,130	Distributed implementations of dependency discovery algorithms	2019	VLDB	6.2603084e-05
5,522	MDedup: Duplicate Detection with Matching Dependencies	2020	VLDB	6.0956156e-05
6,525	Parallel Discrepancy Detection and Incremental Detection	2021	VLDB	5.756805e-05
10,339	Parallel Rule Discovery from Large Datasets by Sampling	2022	SIGMOD	5.0195045e-05

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