Comprehensive concept description based on association rules: A meta-learning approach

Author:

Berka Petr

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference23 articles.

1. R. Agrawal, T. Imielinski and A. Swami, Mining association rules between sets of items in large databases, in: SIGMOD Conference, 1993, pp. 207–216.

2. A. An, S. Khan and X. Huang, Objective and subjective algorithms for grouping association rules, in: Third IEEE Conference on Data Mining, ICDM’03, 2003, pp. 477–480.

3. A New Approach of Eliminating Redundant Association Rules;Ashrafi;15th International Conference on Database and Expert Systems Applications, DEXA 2004,,2004

4. B. Baesens, S. Viaene and J. Vanthienen, Post-processing of association rules, in: The Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD’2000, Boston, Massachusetts, 2000.

5. An empirical comparison of voting classification algorithms: bagging, boosting, and variants;Bauer;Machine Learning,1999

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