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Techniques for dealing with missing values in classification

Techniques for dealing with missing values in classification

Advances in Intelligent Data Analysis Reasoning about Data
Abstract
A brief overview of the history of the development of decision tree induction algorithms is followed by a review of techniques for dealing with missing attribute values in the operation of these methods. The technique of dynamic path generation is described in the context of tree-based classification methods. The waste of data which can result from casewise deletion of missing

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