Nonredundant Generalized Rules and Their Impact in Classification-Reference-Cited by-同舟云学术

Nonredundant Generalized Rules and Their Impact in Classification

Published:2010 Issue: Volume: Page:3-25
ISSN:1860-949X
Container-title:Advances in Intelligent Information Systems
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Author:

Rioult François,Zanuttini Bruno,Crémilleux Bruno

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-05183-8_1.pdf

Reference38 articles.

1. Agrawal, R., Mannila, H., Srikant, R., Toivonen, H., Verkamo, A.: Fast discovery of association rules. In: Advances in Knowledge Discovery and Data Mining pp. 307–328 (1996)

2. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: Intl. Conference on Very Large Data Bases (VLDB 1994), Santiago de Chile, Chile, pp. 487–499 (1994)

3. Antonie, M.L., Zaïane, O.: An associative classifier based on positive and negative rules. In: ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD 2004), Paris, France (2004)

4. Baralis, E., Garza, P.: A lazy approach to pruning classification rules. In: IEEE International Conference on Data Mining, ICDM 02 Maebashi City, Japan (2002)

5. Lecture Notes in Artificial Intelligence;E. Baralis,2003

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