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Lecture Notes in Computer Science
This paper reports on an investigation to compare a number of strategies to include negated features within the process of Inductive Rule Learning (IRL). The emphasis is on generating the negation of features while rules are being "learnt"; rather than including (or deriving) the negation of all features as part of the input. Eight different strategies are considered based on the manipulation of three feature sub-spaces. Comparisons are also made with Associative Rule Learning (ARL) in thedoi:10.1007/978-3-642-17316-5_12 fatcat:qgw5kvqr2nexzdxynpzasbcs6i