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Mathematical Methods for Knowledge Discovery and Data Mining
Frequently one wants to extend the use of a classification method that in principle requires records with True/False values, so that records with rational numbers can be processed. In such cases, the rational numbers must first be replaced by True/False values before the method may be applied. In other cases, a classification method in principle can process records with rational numbers directly, but replacement by True/False values improves the performance of the method. The replacementdoi:10.4018/9781599045283.ch001 fatcat:6mq3whe27bbsxi6ecndnhk6zyi