Discretization of continuous attributes using information divergence

The discretization of continuous attributes is always with great contribution to the followed process of machine learning or data mining.A new algorithm based on information divergence for discretization is proposed.By an inconsistency checking,the procedure of discretization is controlled.The experiments are performed respectively with the results of discreted data by using C4.5 and SVM.The results show that the presented algorithm is effective.