Re: A new proof of the superiority of set oriented approaches: numerical/time serie linear interpolation
Date: Sat, 05 May 2007 17:30:04 GMT
Message-ID: <wa3%h.2390$XG1.633_at_trndny07>
"Cimode" <cimode_at_hotmail.com> wrote in message
> Thank you for your friendly warning but do not worry about me. To
> me, it's a matter of expectations and feedback quality. I have
> already came to the conclusion that a few good points made by some
> people here may worth the hassle of accepting noise, off topic or
> uninformed (unaware?) feedback.
>
> In my quest of refining and characterizing a computing model that
> would correctly represent relations and relation operations, such
> quality input is quite refreshing and allows me to double check that I
> am not following a dead end conceptual lead.
>
>
fine. Back to the main point.
First, inferences and data are not the same thing. An interpolation, or a point derived from regression, or whatever, is an inference, not data. In your original exposition of the thread, you presented it as if the inferences could be returned to the user in place of data, where no actual data is available. My claim is that you do this at your peril. It has to be possible for the user to find out whether the supposed data provided by the DBMS is data that was provided to it, or whether it's an inference based on available data and a model for how the data works.
How bad the answers are will depend, among other things, on how bad the model is.
I'm interested in where you're headed, but it think it's a slippery slope.
"Les conseils de la vieillesse sont comme le soleil d'hiver. Ils eclairent
sans echauffer."
For some reason, I think of this maxim often when I read this newsgroup.