An Efficient Itemset Mining Approach for Data Streams-Reference-Cited by-同舟云学术

An Efficient Itemset Mining Approach for Data Streams

Published:2011 Issue: Volume: Page:515-523
ISSN:0302-9743
Container-title:Knowlege-Based and Intelligent Information and Engineering Systems
language:
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Author:

Baralis Elena,Cerquitelli Tania,Chiusano Silvia,Grand Alberto,Grimaudo Luigi

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-23863-5_53

Reference19 articles.

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2. Aumann, Y., Feldman, R., Lipshtat, O.: Borders: An efficient algorithm for association generation in dynamic databases. JIIS 12 (1999)

3. Baralis, E., Cerquitelli, T., Chiusano, S.: Constrained itemset mining on a sequence of incoming data blocks. Int. J. Intell. Syst. 25, 389–410 (2010)

4. Baralis, E., Cerquitelli, T., Chiusano, S., Grand, A.: Array-tree: A persistent data structure to compactly store frequent itemsets. In: IEEE Conf. of Intelligent Systems, pp. 108–113 (2010)

5. Cheung, D.W.-L., Han, J., Ng, V., Wong, C.Y.: Maintenance of discovered association rules in large databases: An incremental updating technique. In: ICDE, pp. 106–114. IEEE Computer Society, Los Alamitos (1996)

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