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How to build a decision tree?
The question is for those who are familiar, or even at all - making friends with logic and mathematics better than me, well, or simply to educated people, of whom there are plenty on Habré.
Example:
Человек за рулем автомобиля пересекает перекресток. Мы ставим перед собой задачу о том, как классифицировать данную ситуацию, а перед водителем - задачу соблюдения им правила и регламентов, называемые "правилами дорожного движения".
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Check out a little theory here . Also, building trees is one of the features of the data mining packages ( example ).
You can look at the "Facet Classification" (colon classification, Ranganathan classification). There, some branches may belong to others, but it does not quite fit into the concept of a tree, as I understand it, more than a honeycomb or moss.
There is a very user-friendly tool RapidMiner
rapid-i.com/content/view/26/84/lang ,en/
Here is a good overview of free datamining packages blog.samibadawi.com/2010/06/orange-r-rapidminer-statistica-and-weka.html should be translated into Habré.
The science is called "Systems Constraint Theory" by Eliyahu Goldratt.
And for the implementation of Lisp to help you.
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