ExAnte: Anticipated Data Reduction in Constrained Pattern Mining

Author:

Bonchi Francesco,Giannotti Fosca,Mazzanti Alessio,Pedreschi Dino

Publisher

Springer Berlin Heidelberg

Reference12 articles.

1. Agrawal, R., Imielinski, T., Swami, A.N.: Mining association rules between sets of items in large databases. In: Buneman, P., Jajodia, S. (eds.) Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, Washington, D.C, May 26-28, pp. 207–216 (1993)

2. Agrawal, R., Srikant, R.: Fast Algorithms for Mining Association Rules in Large Databases. In: Proceedings of the Twentieth International Conference on Very Large Databases, Santiago, Chile, pp. 487–499 (1994)

3. Boulicaut, J.-F., Jeudy, B.: Using constraints during set mining: Should we prune or not? In: Actes des Seizieme Journiies Bases de Donnues Avancues BDA 2000, Blois (F), pp. 221–237 (2000)

4. Bucila, C., Gehrke, J., Kifer, D., White, W.: Dualminer: A dual-pruning algorithm for itemsets with constraints. In: Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2002)

5. Bonchi, F., Giannotti, F., Mazzanti, A., Pedreschi, D.: Exante: a preprocessing algorithm for constrained frequent pattern mining. Technical Report ISTI-B4-2003-07, ISTI (2003)

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