state construction. The project introduces a new method that applies Information Theory and decision tree technique to …

space from more than 20,000dimensions to a couple of hundreds. We utilize automaticallygenerated decision trees to …

evaluated the service dimensions of ocean freight shipping lines (or companies). Using an analytical method called decision tree …

repair costs were calculated using a method of decision tree and using of simulation of the most critical component lifetime … distribution of simulation inputs was based on a theoretical curve fitting the sample data. The decision tree and the simulation … were performed in the program Decision Tools. It was considered that the installation of the cheapest critical components …

dependent decision tree approach, to modeling multivariate decision making problems with practical applications in real options … framework based on copulas for modeling dependent multivariate uncertainties through the use of a decision tree. The proposed … dependent decision tree model allows multiple dependent uncertainties with arbitrary marginal distributions to be represented in …

The decision tree is a well-known methodology for classification and regression. In this dissertation, we focus on the … minimization of the misclassification rate for decision tree classifiers. We derive the necessary equations that provide the … and EBP of C4.5. Finally, our work provides a deeper understanding of decision trees. …

In the past few years, organizational researchers have found a renewed interest in categorization and its consequences …. Most research focuses on the consequences of categorization for the categorized objects, arguing that a clear identity is … move the focus away from the results of categorization to the antecedent of it. Users frequently question whether an object …