Rare Pattern Mining on Data Streams-Reference-Cited by-同舟云学术

Rare Pattern Mining on Data Streams

Published:2012 Issue: Volume: Page:303-314
ISSN:0302-9743
Container-title:Data Warehousing and Knowledge Discovery
language:
Short-container-title:

Author:

Huang David,Koh Yun Sing,Dobbie Gillian

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-32584-7_25.pdf

Reference17 articles.

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2. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules in large databases. In: Bocca, J.B., Jarke, M., Zaniolo, C. (eds.) Proceedings of the 20th International Conference on Very Large Data Bases, VLDB, Santiago, Chile, pp. 487–499 (1994)

3. Cheng, J., Ke, Y., Ng, W.: Maintaining frequent closed itemsets over a sliding window. J. Intell. Inf. Syst. 31, 191–215 (2008)

4. Chi, Y., Wang, H., Yu, P.S., Muntz, R.R.: Moment: Maintaining closed frequent itemsets over a stream sliding window. In: Proceedings of the Fourth IEEE International Conference on Data Mining, ICDM 2004, pp. 59–66. IEEE Computer Society, Washington, DC (2004)

5. Chi, Y., Wang, H., Yu, P.S., Muntz, R.R.: Catch the moment: maintaining closed frequent itemsets over a data stream sliding window. Knowl. Inf. Syst. 10, 265–294 (2006)

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