Combined optimization decision tree algorithm suitable for large scale data-base
DU Zi-ping · Systems engineering and electronics · 2009
A combined optimization decision tree algorithm suitable for a large scale and high dimension data-base is presented.Compared with the traditional similar algorithms,the algorithm makes improvements from three aspects: discretization,reducing dimension and attribute selection.It also optimizes the main processes,so that it is suitable for large scale and high dimension data-base and effectively solves the conflict between efficiency and predictive precision.Experiments show that the proposed method raises the predictive precision of decision trees while it greatly reduces the computational cost.