Interpretable regularized class association rules algorithm for classification in a categorical data space-Reference-Cited by-同舟云学术

Interpretable regularized class association rules algorithm for classification in a categorical data space

Published:2019-05 Issue: Volume:483 Page:313-331
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Azmi Mohamed^ORCID,Runger George C.,Berrado Abdelaziz

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference49 articles.

1. Mining association rules between sets of items in large databases;Agrawal,1993

2. Fast discovery of association rules;Agrawal;Adv. knowl. Discov. Data Min.,1996

3. Towards an interpretable rules ensemble algorithm for classification in a categorical data space;Azmi,2015

4. Class-association rules pruning using regularization;Azmi,2016

5. Using metarules to organize and group discovered association rules;Berrado;Data Min. Knowl. Discov.,2007

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