NEtwork Digest Analysis Driven by Association Rule Discoverers

Author:

Apiletti Daniele,Cerquitelli Tania,D’Elia Vincenzo

Publisher

Springer Berlin Heidelberg

Reference43 articles.

1. Agrawal, R., Srikant, R.: Fast Algorithms for Mining Association Rules in Large Databases. In: Proceedings of the 20th International Conference on Very Large Data Bases, pp. 487–499 (1994)

2. Arasu, A., Babu, S., Widom, J.: The CQL continuous query language: semantic foundations and query execution. The VLDB Journal, The International Journal on Very Large DataBases 15(2), 121–142 (2006)

3. Babu, S., Widom, J.: Continuous queries over data streams. ACM SIGMOD Record 30(3), 109–120 (2001)

4. Baldi, M., Baralis, E., Risso, F.: Dipt. di Autom. e Inf. Data mining techniques for effective and scalable traffic analysis. In: 2005 9th IFIP/IEEE International Symposium on Integrated Network Management, IM 2005, pp. 105–118 (2005)

5. Goethals, B.: Frequent Pattern Mining Implementations, http://www.adrem.ua.ac.be/~goethals/software

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