… tree is the most commonly used because of its ease of execution and easier to understand
compared to other classification algorithms. The ID3, C4.5 and CART decision tree algorithms …

… algorithm in every situations of decision making is very important for us to know. This paper
includes three different algorithms of Decision Tree … done about decision tree algorithms and …

… algorithm to the well known classification algorithm CART [2], and examined the tree classifiers
built by standard CART and by our algorithm on … Since decision tree is recursive, we only …

… In this paper, we assess the utility of decision tree classification algorithms for … decision
tree classification algorithms, to discuss the technical issues associated with using decision tree …

… classification and prediction accuracy. In Section 2 we did a review of decision tree algorithms,
the phases of decision tree … serial implementation decision tree algorithms and compare …

… classification algorithm for the op- timal decision tree, our study then focuses on search- ing
… heuristic classification algorithm with better performance than others. The ID3 algorithm is …

… In the next section we give a brief introduction to See5 algorithm. In Section 3 we present
various steps of our decision tree algorithm. Experimental results have been presented in …

… several algorithms, and in this work, the paper focused on the decision tree algorithm in …
Decision tree classification algorithms consist of several types that are used to generate DT. This …

… A decision tree is a structure that includes a root node, branches, and leaf nodes. Each …
node in the tree is the root node. This paper focus on the various algorithms of Decision tree (ID3, …

… This paper introduces frequently used algorithms used to develop decision trees (including
CART, C4.5, CHAID, and QUEST) and describes the SPSS and SAS programs that can be …