Event Prediction in Network Monitoring Systems: Performing Sequential Pattern Mining in Osmius Monitoring Tool-Reference-Cited by-同舟云学术

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Event Prediction in Network Monitoring Systems: Performing Sequential Pattern Mining in Osmius Monitoring Tool

Published:2010 Issue: Volume: Page:632-642
ISSN:0302-9743
Container-title:Advances in Data Mining. Applications and Theoretical Aspects
language:
Short-container-title:

Author:

García Rafael,Llana Luis,Malagón Constantino,Pancorbo Jesús

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-14400-4_49.pdf

Reference17 articles.

1. Agrawal, R., Imielinski, T., Swami, A.: Mining association rules between sets of items in large databases. SIGMOD 22(2), 207–216 (1993)

2. Cheng, H., Yan, X., Han, J.: Incspan: Incremental mining of sequential patterns in large database. In: Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining (2004)

3. Dong, G., Pei, J.: Sequence Data Mining. Springer, Heidelberg (2007)

4. Han, J., Cheng, H., Xin, D., Yan, X.: Frequent pattern mining: current status and future directions. Data Min. Knowl. Disc. 5, 55–86 (2007)

5. Han, J., Pei, J., Yiwein, Y., Runying, M.: Mining frequent patterns without candidate generation: A frequent-pattern tree approach. Data Mining and Knowledge Discovery 8, 53–87 (2004)

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