Effective classification of noisy data streams with attribute-oriented dynamic classifier selection

Authors:
Xingquan Zhu;Xindong Wu;Ying Yang
Affiliations:
Department of Computer Science, University of Vermont, Burlington, VT;Department of Computer Science, University of Vermont, Burlington, VT;School of Computer Science and Software Engineering, Monash University, Melbourne, Victoria, Australia
Venue:
Knowledge and Information Systems
Year:
2006

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Abstract

Association rules are a data mining technique used to discover frequent patterns in a data set. In this work, association rules are used in the medical domain, where data sets are generally high dimensional and small. The chief disadvantage about mining ...