On Pruning and Tuning Rules for Associative Classifiers-Reference-Cited by-同舟云学术

On Pruning and Tuning Rules for Associative Classifiers

Published:2005 Issue: Volume: Page:966-973
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Zaïane Osmar R.,Antonie Maria-Luiza

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11553939_136.pdf

Reference9 articles.

1. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: Proc. Intl. Conf. on Very Large Data Bases, pp. 487–499 (1994)

2. Antonie, M.-L., Zaïane, O.R.: Text document categorization by term association. In: Proc. of the IEEE International Conference on Data Mining (ICDM 2002), pp. 19–26 (2002)

3. Lecture Notes in Artificial Intelligence;M.-L. Antonie,2003

4. Bayardo, R.: Brute-force mining of high-confidence classification rules. In: 3rd Intl. Conf. on Knowledge Discovery and Data Mining (KDD 1997), pp. 123–126 (1997)

5. Coenen, F., Leng, P.: An evaluation of approaches to classification rule selection. In: IEEE International Conference on Data Mining (ICDM 2004), pp. 359–362 (2004)

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