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Significance of condition attributes in child well-being analysis

Adamus Ewa, Klęsk Przemysław, Kołodziejczyk Joanna, Korzeń Marcin, Piegat Andrzej, Pluciński Marcin

Studia i Materiały Informatyki Stosowanej

2011

nr 4

11--16

In this study the significance of attributes in child well-being is presented. The main goal was to find features most specific for child-well being evaluation in Poland. The dataset was obtained from a survey based on a special questionnaire. To select important attributes three filter for individual attribute rank were used ?2, information gain and relief attribute evaluator and one filter-subset selector based on rough set theory. In the article the dataset is described in details. All the attributes are named, divided by category and for each a domain is given. Then methods of attribute selection applied in experiments are presented. Finally results on selecting attributes relevant for child well-being are discussed.