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Cited by 222

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Online association rule mining

Open access
Hidber, Christian·1999·ACM SIGMOD Record

Abstract

We present a novel algorithm to compute large itemsets online. The user is free to change the support threshold any time during the first scan of the transaction sequence. The algorithm maintains a superset of all large itemsets and for each itemset a shrinking, deterministic interval on its support. After at most 2 scans the algorithm terminates with the precise support for each large itemset. Typically our algorithm is by an order of magnitude more memory efficient than Apriori or DIC.

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Metadata

Authors
Hidber, C.
Venue
ACM SIGMOD Record
Published
1999-06
Volume
28
Issue
2
Pages
145-156
ISSN
0163-5808 (ISSN-L)
OpenAlex
W2042875144
Cited by
222
References
1
FWCI
32.32
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Online association rule mining. https://app.cochat.ai/papers/10.1145/304181.304195
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Hidber, C. (1999). Online association rule mining. ACM SIGMOD Record. https://doi.org/10.1145/304181.304195

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.