Mining Frequent Diamond Episodes from Event Sequences-Reference-Cited by-同舟云学术

Mining Frequent Diamond Episodes from Event Sequences

Published: Issue: Volume: Page:477-488
ISSN:0302-9743
Container-title:Modeling Decisions for Artificial Intelligence
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Author:

Katoh Takashi,Hirata Kouichi,Harao Masateru

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-73729-2_45.pdf

Reference14 articles.

1. Agrawal, R., Mannila, H., Srikant, R., Toivonen, H., Verkamo, A.I.: Fast discovery of association rules. In: Fayyed, U.M., Piatetsky-Shapiro, G., Smyth, P., Uthurusamy, R. (eds.) Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press, pp. 307–328 (1996)

2. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules in large databases. In: Proc. 20th VLDB, pp. 487–499 (1994)

3. Agrawal, R., Srikan, R.: Mining sequential patterns. In: Proc. 11th ICDE, pp. 3–14 (1995)

4. Bettini, C., Wang, S., Jajodia, S., Lin, J.-L.: Discovering frequent event patterns with multiple granularities in time sequences. IEEE Trans. Knowledge and Data Engineering 10, 222–237 (1998)

5. Lecture Notes in Artificial Intelligence;T. Katoh,2006

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