Parallel Strategies for Training Decision Tree
Xin Liu · 2004
With the development of biology technology ,the amounts of data increase very fast. It is difficult to analyze and model the data within reasonable amount of time ,so studying parallel data mining algorithms has been becoming an important approach to solving the problem. Decision tree has been widely applied as an important classification tool. This paper surveys several parallel training decision tree strategies and compares their performance.