How to to use C5.0 decision tree for large data

r
classification

#1

I am currently creating a model for classification using C5.0 decision tree and while creating it a model it takes so much but create a model but when I used to predict the output using this model on very large data set of 250 mb my R stop working even I have 8GB RAM .I want to know to manipulate the output data so i get my output result.