The Relation of Closed Itemset Mining, Complete Pruning Strategies and Item Ordering in Apriori-Based FIM Algorithms

Author:

Bodon Ferenc,Schmidt-Thieme Lars

Publisher

Springer Berlin Heidelberg

Reference9 articles.

1. Pasquier, N., Bastide, Y., Taouil, R., Lakhal, L.: Pruning closed itemset lattices for association rules. In: Proceedings of the 14th BDA French Conference on Advanced Databases, Hammamet, Tunisie, pp. 177–196 (1998)

2. Goethals, B., Zaki, M.J.: Advances in frequent itemset mining implementations: Introduction to fimi03. In: Proceedings of the IEEE ICDM Workshop on Frequent Itemset Mining Implementations (FIMI 2003), CEUR Workshop Proceedings, Melbourne, Florida, USA., vol. 90 (2003)

3. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: Bocca, J.B., Jarke, M., Zaniolo, C. (eds.) Proceedings of the 20th International Conference on Very Large Data Bases (VLDB), Chile, pp. 487–499. Morgan Kaufmann, San Francisco (1994)

4. Zaki, M.J., Parthasarathy, S., Ogihara, M., Li, W.: New algorithms for fast discovery of association rules. In: Heckerman, D., Mannila, H., Pregibon, D., Uthurusamy, R., Park, M. (eds.) Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining, California, USA, pp. 283–296. AAAI Press, Menlo Park (1997)

5. Schmidt-Thieme, L.: Algorithmic features of eclat. In: Proceedings of the IEEE ICDM Workshop on Frequent Itemset Mining Implementations (FIMI 2004), CEUR Workshop Proceedings, Brighton, UK., vol. 126 (2004)

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