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Creation, Utilization and Optimization of Decision Trees
 Selement, Pavel ; Bína, Vladislav (advisor) ; Váchová, Lucie (referee)
Decision trees are one of the main methods for solving decision problems. The goal of this thesis is to introduce their properties and basic conditions for use. The main contribution of this work is located in linking decision trees research in the decision theory and in the field of machine learning. The goal is not meant to be a comprehensive list of available methods but rather points out the overlooked connection between those two science disciplines. It is shown, both in theory and by an example, how to use the methods originally from machine learning for decision trees in the decision theory and thus in management practice. At the end there are several variants introduced to explain how to simplify decision trees.
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