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CHARM: An Efficient Algorithm for Closed Itemset Mining

Zaki, Mohammed J., Hsiao, Ching-Jui·2002·Proceedings of the 2002 SIAM International Conference on Data Mining

Abstract

The set of frequent closed itemsets uniquely determines the exact frequency of all itemsets, yet it can be orders of magnitude smaller than the set of all frequent itemsets. In this paper we present CHARM, an efficient algorithm for mining all frequent closed itemsets. It enumerates closed sets using a dual itemset-tidset search tree, using an efficient hybrid search that skips many levels. It also uses a technique called diffsets to reduce the memory footprint of intermediate computations. Finally it uses a fast hash-based approach to remove any “non-closed” sets found during computation. An extensive experimental evaluation on a number of real and synthetic databases shows that CHARM significantly outperforms previous methods. It is also linearly scalable in the number of transactions.

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Metadata

Authors
Zaki, M. J., & Hsiao, C.-J.
Venue
Proceedings of the 2002 SIAM International Conference on Data Mining
Published
2002-04-11
Pages
457-473
OpenAlex
W1537336823
Cited by
929
References
0
FWCI
37.51
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: CHARM: An Efficient Algorithm for Closed Itemset Mining. https://app.cochat.ai/papers/10.1137/1.9781611972726.27
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Zaki, M. J., & Hsiao, C.-J. (2002). CHARM: An Efficient Algorithm for Closed Itemset Mining. Proceedings of the 2002 SIAM International Conference on Data Mining. https://doi.org/10.1137/1.9781611972726.27

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