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: 6574
Venue: SIGMOD
Year: 2023
Pagerank: 4.3472627e-05
Overall Rank: 9,362 | 34.94%
DOI: 10.1145/3588924

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
9,439	Rock: Cleaning Data by Embedding ML in Logic Rules	2024	SIGMOD	4.3389137e-05
9,748	Efficient Differential Dependency Discovery	2024	VLDB	4.2856385e-05
9,846	HyperBlocker: Accelerating Rule-based Blocking in Entity Resolution using GPUs	2025	VLDB	4.2680295e-05
9,847	Discovering Top-k Relevant and Diversified Rules	2024	SIGMOD	4.2680295e-05
10,320	Efficient Partition-based Approaches for Diversified Top-k Subgraph Matching	2026	VLDB	4.1905499e-05
10,499	Incremental Rule Discovery in Response to Parameter Updates	2025	SIGMOD	4.1905499e-05
11,114	Rock: Cleaning Data with both ML and Logic Rules	2024	VLDB	4.1905499e-05
11,225	Splitting Tuples of Mismatched Entities	2023	SIGMOD	4.1905499e-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
49	Consistent Query Answers in Inconsistent Databases	1999	PODS	0.00067607389
182	Mining Frequent Patterns without Candidate Generation	2000	SIGMOD	0.00036955562
192	HoloClean: Holistic Data Repairs with Probabilistic Inference	2017	VLDB	0.00035692958
293	Deep Learning for Entity Matching: A Design Space Exploration	2018	SIGMOD	0.00028661817
556	Discovering Denial Constraints	2013	VLDB	0.00020214701
651	Dynamic Itemset Counting and Implication Rules for Market Basket Data	1997	SIGMOD	0.00018649942
740	Distributed Representations of Tuples for Entity Resolution	2018	VLDB	0.00017358024
890	A Hybrid Approach to Functional Dependency Discovery	2016	SIGMOD	0.00015542177
1,047	Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms	2015	VLDB	0.00014442219
1,187	On Generating Near-Optimal Tableaux for Conditional Functional Dependencies	2008	VLDB	0.00013432048
1,340	HoloDetect: Few-Shot Learning for Error Detection	2019	SIGMOD	0.00012492795
1,821	Synthesizing Entity Matching Rules by Examples	2018	VLDB	0.00010406856
2,082	Efficient Discovery of Approximate Dependencies	2018	VLDB	9.5875364e-05
2,258	Efficient Denial Constraint Discovery with Hydra	2018	VLDB	9.1804145e-05
2,968	Raha: A Configuration-Free Error Detection System	2019	SIGMOD	7.7964476e-05
3,057	ZeroER: Entity Resolution using Zero Labeled Examples	2020	SIGMOD	7.6458287e-05
3,448	Approximate Denial Constraints	2020	VLDB	7.081095e-05
3,469	Deep Learning for Blocking in Entity Matching: A Design Space Exploration	2021	VLDB	7.0629476e-05
3,900	SLiMFast: Guaranteed Results for Data Fusion and Source Reliability	2017	SIGMOD	6.649432e-05
4,129	A Statistical Perspective on Discovering Functional Dependencies in Noisy Data	2020	SIGMOD	6.4208557e-05
4,397	Smurf: Self-Service String Matching Using Random Forests	2019	VLDB	6.2142485e-05
5,120	Association Rules with Graph Patterns	2015	VLDB	5.6754325e-05
5,622	Distributed implementations of dependency discovery algorithms	2019	VLDB	5.4050344e-05
6,047	MDedup: Duplicate Detection with Matching Dependencies	2020	VLDB	5.2355891e-05
6,691	Parallel Discrepancy Detection and Incremental Detection	2021	VLDB	4.9573939e-05
9,962	Parallel Rule Discovery from Large Datasets by Sampling	2022	SIGMOD	4.2254157e-05

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