I have a lot of data that I want to pretreat before I use them in machine learning. I have time stamps on all my attributes, and would like to make time windows - all data within 5 min for example, must be assembled, and the mean of these data is the new value. This must then be repeated for all the data I have, so I end up with a lot of windows on 5 min each. Thus, I should like to end up with far fewer data points.
Is this possible in Rapid Miner?