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Rules induction on child well being

Adamus E., Klęsk P., Kołodziejczyk J., Korzeń M., Piegat A., Pluciński M.

Metody Informatyki Stosowanej

2010

nr 4 (24)

5-10

The aim of this research was to induct rules from a dataset obtained through a survey on child well-being that was performed in Poland Western Pomarania. For rule induction the exhaustive algorithm was used. The assessment of the strengths of found rules can be carried out and expressed in terms of: the conditional entropy and the Kullback-Leibler's number. Resulting rules are elements of a Pareto optimal set of derived rules, which are 'sensible' and 'interesting', Each rule combines thefunctionings (activities during childhood) and subjective evaluation of childhood.