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Scalable Techniques for Mining Causal Structures

Summary: Scales causal-structure discovery in market-basket data without learning full Bayesian networks, addressing statistical and computational obstacles. Experiments show feasible mining and suggest ruling out causality is easier—and valuable for avoiding erroneous decisions. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
habbb3b3961e7eeaa
Venue
VLDB
Year
1998
Pagerank
9.9741266e-05
Overall Rank
1,653 | 88.89%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{silverstein_vldb98,
        title = {{Scalable Techniques for Mining Causal Structures}},
        author = {Silverstein, Craig and Brin, Sergey and Motwani, Rajeev and Ullman, Jeff},
        journal = {PVLDB},
        series = {{VLDB} '98},
        pages = {594--605},
        year = {1998}
}

Incoming Citations (Sorted by Pagerank)

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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 0.00064420972
731 Beyond Market Baskets: Generalizing Association Rules to Correlations 1997 SIGMOD 0.00014394521
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