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Abstract: Classifier induction is a specific data-mining task that is part of the knowledge discovery process. Its objectives are to extract accurate, comprehensible and interesting knowledge. However, most classifier induction approaches focus only on one of these objectives. This paper introduces a Multi-Objective Evolutionary Rule Base Induction System (MERBIS) that is capable of optimising both, accuracy and comprehensibility objectives at the same time. We investigate different parameter sets... (Update)
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BibTeX entry: (Update)
Christian Setzkorn and Ray C. Paton. MERBIS - A Multi-Objective Evolutionary Rule Base Induction System. Technical Report ULCS-03-016, University of Liverpool, 2003. http://citeseer.ist.psu.edu/setzkorn03merbis.html More
@misc{ setzkorn03merbis,
author = "C. Setzkorn and R. Paton",
title = "MERBIS - A Multi-Objective Evolutionary Rule Base Induction System",
text = "Christian Setzkorn and Ray C. Paton. MERBIS - A Multi-Objective Evolutionary
Rule Base Induction System. Technical Report ULCS-03-016, University of
Liverpool, 2003.",
year = "2003",
url = "citeseer.ist.psu.edu/setzkorn03merbis.html" }
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