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IFIP12
2010

Rule Learning with Negation: Issues Regarding Effectiveness

8 years 3 months ago
Rule Learning with Negation: Issues Regarding Effectiveness
: An investigation of rule learning processes that allow the inclusion of negated features is described. The objective is to establish whether the use of negation in inductive rule learning systems is effective with respect to classification. This paper seeks to answer this question by considering two issues relevant to such systems; feature identification and rule refinement. Both synthetic and real datasets are used to illustrate solutions to the identified issues and to demonstrate that the use of negative features in inductive rule learning systems is indeed beneficial.
Stephanie Chua, Frans Coenen, Grant Malcolm
Added 27 Jan 2011
Updated 27 Jan 2011
Type Journal
Year 2010
Where IFIP12
Authors Stephanie Chua, Frans Coenen, Grant Malcolm
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