> So we had to derive from them derived streams that didn't show temporal dependencies any longer, at least not as strongly

Could you expand on that (or at least point me towards some keywords to read up on)?

I think I understand conceptually what this means (network latency increases at noon CDT each day because YouTube load increases during the lunch hour, as an example) but I'm wondering how you normalize data streams for temporal dependencies with unknown frequencies (nominal change #1 happens each Sunday, while nominal change #2 happens each day at noon).