Re: The original version
Date: Sun, 26 Dec 2010 16:44:46 -0800 (PST)
Message-ID: <3881c199-ea4b-4b21-9208-fa70dcad628f_at_j29g2000yqm.googlegroups.com>
Data structures from Anchor Modeling are naively designed. Here is an example that confirms this.
Historized Tie in Anchor Modeling has the form: Htie(C1, C2, …, Cn,
T). Then it is possible the following sequence of instances:
(C1, C2, …, Cn, T1)
(C1, C2, …, Cn, T2)
….
(C1, C2, …, Cn, Tk)
Now we can construct the algorithm which has the following rule: If i
at Ti is an odd number, then the above relationship is “on”. Otherwise
the relationship is “off”.
Now if a data entry person enters the following wrong instance: (C1, C2, … ,Cn, Ti) where T1<Ti<T2, then all the above instances which correspond to T2, T3, … , Tk become wrong.
There are many combinations in this simple example that show that
Anchor Modeling is naive modeling. Just to mention that in the case of
a crime, we can have an insider or we can have an insider and an
outsider.
We can combine the above example with deleting of wrong data and as I
have already shown - Anchor Modeling can not maintain “history” for
deleted data.
For example, I remember the outages that happened in NYC, I think in summer of 2006. Many electrical lines were “off” many times and there are a lot of important companies, critical customers and government online agencies in NYC (the outages were “off” and “on” for about 10 days).
Vladimir Odrljin Received on Mon Dec 27 2010 - 01:44:46 CET