Communication-Efficient Distributed Mining of Association Rules

Summary: New communication-efficient distributed algorithms for mining association rules in share-nothing, partitioned data. Robust to skew and imbalanced partitions, with theoretical and empirical results guiding implementation in diverse peer-to-peer-like environments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 3354
Venue: SIGMOD
Year: 2001
Pagerank: -
Overall Rank: 14,018 | 3.83%
DOI: 10.1145/375663.375728

Incoming Non-self Citations Over Time

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Authors

1. Assaf Schuster (Technion)
2. Ran Wolff (Technion)

BibTeX Citation

@inproceedings{schuster_sigmod01,
        title = {{Communication-Efficient Distributed Mining of Association Rules}},
        author = {Schuster, Assaf and Wolff, Ran},
        series = {{SIGMOD} '01},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/375663.375728},
        url = {https://dl.acm.org/doi/10.1145/375663.375728},
        year = {2001}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,029	Distributed Threshold Querying of General Functions by a Difference of Monotonic Representation	2011	VLDB	5.5045998e-05

Outgoing Citations (Sorted by Pagerank)

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

Rank	Cited Paper	Year	Venue	Pagerank

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