The Research for Scalability of Decision Tree Classification Algorithms
Zhen Liu · Journal of Huizhou University · 2009
Among classification models for data exploring,Decision tree is a better model in performance.This article mainly deals with problem that produced since decision tree applied in data exploring.The main problem is scalability.This article overviewed the solution for this problem at home and abroad,and analyzed on the advantages and disadvantages of improved algorithms.That benefits for research on scalable decision tree.At the same time,the idea of algorithms researched in this article is helpful for solving huge data set problem in data exploration of other field.