05-19-2017 07:45 AM
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
05-19-2017 07:46 AM
Have you downloaded the Outlier Detection extension? Those operators are very fast and have many more than the core RapidMiner ones.
05-19-2017 08:00 AM
When I search in Market place for Outlier Detection extension doesn't return any values - am I using the wrong search term - I do have the anomaly detection extension installed
05-19-2017 09:17 AM
AH I meant the Anomaly Detection extension. Ok, so you have it installed already. My guess is that the memory available to RapidMiner is not enough. How much do you have and what is your license type? Community? Educational?
05-19-2017 11:16 AM
Can you break it into subsets and iterate over that?