Resampling an unbalanced dataset

Hi everybody,
I’ve got a data setwith unbalanced class distribution, which I need to resample for making it balanced. Is there in KNIME anything like the weka.filters.supervised.instance.Resample?

Thank you for your help

You may have a look at the SMOTE node. Though not a generic oversampling node it allows at least for synthetic minority oversampling.
See also:

The one problem with SMOTE is that depending on the dataset it can scale very poorly.