WEKA Crash after exceeding the avaiable Memory

In the lecture "Machine Learning" I have to process different kinds of datasets and perform several machine learning techniques on them. A few classifier like tree-based ones work very good on small datasets with less attributes but doesn't on big datasets with lots of attributes. In the worst case, WEKA crashes because it exceeds its reserved memory space.
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