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A New Framework For Itemset Generation

Summary: Introduce “strongly collective itemsets”: a criterion prioritizing inter-item correlation over absolute support for association discovery. Provide an efficient, statistically robust algorithm using relative measures that scales to dense/heterogeneous databases and uncovers negative associations. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1125
Venue
PODS
Year
1998
Pagerank
6.1414792e-05
Overall Rank
5,633 | 61.36%
DOI
10.1145/275487.275490

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{aggarwal_pods98,
        address = {New York, NY, USA},
        series = {{PODS} '98},
        title = {{A New Framework For Itemset Generation}},
        url = {https://dl.acm.org/doi/10.1145/275487.275490},
        doi = {10.1145/275487.275490},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Aggarwal, Charu C. and Yu, Philip S.},
        year = {1998}
}

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