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Re: [ontolog-forum] Event Ontology

To: "'[ontolog-forum] '" <ontolog-forum@xxxxxxxxxxxxxxxx>
From: "Rich Cooper" <rich@xxxxxxxxxxxxxxxxxxxxxx>
Date: Sat, 5 Sep 2009 12:00:21 -0700
Message-id: <20090905190053.6FD6E138D1A@xxxxxxxxxxxxxxxxx>





Rich Cooper


Rich AT EnglishLogicKernel DOT com


JS>: In any case, data mining is a good example of a nominalist



  1. Data mining starts with a database of low-level facts.


  2. It applies well-defined algorithm(s) that analyze the

     DB to discover patterns in the data.


Although the interesting algorithms aren't that well defined - they're evolving like stem cells and continue to this day. 


  3. Those patterns might be the result of fundamental laws,

     or they might be accidental patterns that could be

     violated by the next update to the database.


Or they might be bound to the conceptualizations in the observer's cranium, whether fundamental or preaproved or officially not.


  4. Some additional analysis and testing is necessary

     to distinguish principles from coincidences.


Recursion does that very nicely.  If you can learn it once, you can learn it N times. 


Points #3 and #4 are critical.  Data mining is useful as

a method for discovering patterns, but it has no criteria

for distinguishing patterns that result from fundamental

principles from accidental patterns that result from

mere coincidence.  That is the weakness of nominalism.


And the strength of data mining.






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