Abstract
A promising challenge of data mining, especially for association rules technique, is the incremental mining of association whatever is the trend of the association rules. Recently, some researches were devoted to incremental update of temporal association rules problem. In this paper, we focus on cyclic association rules, a class of temporal association rules. Thus, we introduce a new approach called IUPCAR dedicated to maintaining incrementally the cyclic association rules already extracted. Based on the carried out experimental study, we point out the efficiency of our proposal.
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Ozden, B., Ramaswamy, S., Silberschatz, A.: Cyclic Association Rules. In: 14th International Conference on Data Engineering (ICDE’98), p. 412 (1998)
Ben Ahmed, E., Gouider, M.S.: PCAR: nouvelle approche de génération de règles d’association cycliques. In: EGC, DBLP. DBLP:conf/f-egc/2010, pp. 673–674 (2010), http://dblp.uni-trier.de
Cheung, D.W., Wong, C.Y., Han, J., Ng, V.T.: Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique. In: International Conference on Data Engineering, CA, USA, p. 106 (1996)
Shiby, T., Sreeath, B., Alsabti, K., Sanjay, R.: An efficient algorithm for the incremental updation of association rules in large databases. In: Proceedings of the 3rd International conference on Knwoledge Discovery Data Mining (KDD ’97), New Port Beach, California (1997)
Feldman, R., Aumann, Y., Amir, A., Mannila, H.: Efficient ALgorithms for discovering Frequent Sets in Incremental Databases. In: Proceedings of the 1997 SIGMOD Workshop on DMKD, Tucson, Arizon (1997)
Toivonen, H.: Sampling large databases for association rules. In: 22nd International Conference on Very Large Databases (VLDB’96), Mumbay, India, pp. 134–145 (1996)
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Ben Ahmed, E. (2010). Incremental Update of Cyclic Association Rules. In: Fyfe, C., Tino, P., Charles, D., Garcia-Osorio, C., Yin, H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2010. IDEAL 2010. Lecture Notes in Computer Science, vol 6283. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15381-5_47
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DOI: https://doi.org/10.1007/978-3-642-15381-5_47
Publisher Name: Springer, Berlin, Heidelberg
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