Scalable Techniques for Mining Causal Structures

Summary: Scalable techniques for mining causal structures in market-basket data. Addresses scalability of Bayesian-style causal discovery; experiments on real data show inference is feasible and that ruling out causality is often easier than proving it. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 8521
Venue: VLDB
Year: 1998
Pagerank: 0.00011102927
Overall Rank: 1,623 | 88.72%
DOI: -

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
181	Mining Frequent Patterns without Candidate Generation	2000	SIGMOD	0.00036992674
942	A Formal Approach to Finding Explanations for Database Queries	2014	SIGMOD	0.00015155714
2,822	Finding Intensional Knowledge of Distance-Based Outliers	1999	VLDB	8.0608136e-05
3,055	Mining Compressed Frequent-Pattern Sets	2005	VLDB	7.6448739e-05
3,454	Traversing Itemset Lattices with Statistical Metric Pruning	2000	PODS	7.0778482e-05
3,623	Cache-conscious Frequent Pattern Mining on a Modern Processor	2005	VLDB	6.9062146e-05
4,919	Optimization of Constrained Frequent Set Queries with 2-variable Constraints	1999	SIGMOD	5.8256934e-05
5,276	The 3W Model and Algebra for Unified Data Mining	2000	VLDB	5.5905507e-05
8,102	NetCube: A Scalable Tool for Fast Data Mining and Compression	2001	VLDB	4.5852446e-05
9,287	Analyzing Quantitative Databases: Image is Everything	2001	VLDB	4.3622826e-05
12,462	Optimization of Frequent Itemset Mining on Multiple-Core Processor	2007	VLDB	4.1945683e-05

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
13	Mining Association Rules between Sets of Items in Large Databases	1993	SIGMOD	0.0010864752
744	Beyond Market Baskets: Generalizing Association Rules to Correlations	1997	SIGMOD	0.00017333019

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