Publications:On using rule induction in multiple classifiers with a combiner aggregation strategy

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Title On using rule induction in multiple classifiers with a combiner aggregation strategy
Author Jerzy Stefanowski and Sławomir Nowaczyk
Year 2005
PublicationType Conference Paper
Journal
HostPublication Proceedings - 5th International Conference on Intelligent Systems Design and Applications 2005, ISDA '05
Conference 5th International Conference on Intelligent Systems Design and Applications 2005, ISDA '05, 8-10 September 2005, Wroclaw, Poland
DOI http://dx.doi.org/10.1109/ISDA.2005.74
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:588349
Abstract The paper is an experimental study of using the rough sets based rule induction algorithm MODLEM in the framework of multiple classifiers. Particular attention is paid to using a meta-classifier called combiner, which learns how to aggregate answers of component classifiers. The experimental results confirm that the range of classification improvement for the combiner depends on the independence of errors made by the component classifiers. Moreover, we summarize the experience with using MODLEM in other multiple classifiers, namely the bagging and n 2 classifiers. © 2005 IEEE.