Analysis of decision trees methods

Abstract

The hybrid methods of Data Mining technology can be effectively used to solve problems, which are aimed at the automatic analysis and identification of patterns in large amounts of data. This article focuses on the practical application and the structure of the most common algorithms used in decision trees and basic algorithms of decision trees construction. The main attention is payed to regression problems and comparison of decision tree construction algorithms for the mentioned above class of problems.