Outlier detection operators seem to work really slow with larger data sets

Hi

I have a data set of about 160,000 and 25 attributes - trying to detect outliers for numeric variables using detect outliers operators but seems to take for ever to run and sometimes simply runs out of memory

Any advice on a more efficient way to identify outliers in a data set using RapidMiner Studio would be much appreciated

Regards Michael