Meta-learning for Post-processing of Association Rules

Author:

Berka Petr,Rauch Jan

Publisher

Springer Berlin Heidelberg

Reference14 articles.

1. An, A., Khan, S., Huang, X.: Objective and Subjective Algorithms for Grouping Association Rules. In: Third IEEE Conference on Data Mining (ICDM 2003), pp. 477–480 (2003)

2. Agrawal, R., Imielinski, T., Swami, A.: Mining Association Rules Between Sets of Items in Large Databases. In: SIGMOD Conference, pp. 207–216 (1993)

3. Baesens, B., Viaene, S., Vanthienen, J.: Post-processing of association rules. In: The Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2000), Boston, Massachusetts, August 20-23 (2000)

4. Bauer, E., Kohavi, R.: An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants. Machine Learning 36(1/2), 105–139 (1999)

5. Domingues, M.A., Rezende, S.O.: Using Taxonomies to Faciliate the Analysis of the Association Rules. In: Second International Workshop on Knowledge Discovery and Ontologies (KDO 2005), ECML/PKDD, Porto (2005)

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