Rules induction on child well being

• Autorzy: Adamus E. , Klęsk P. , Kołodziejczyk J. , Korzeń M. , Piegat A. , Pluciński M.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

decision rule induction; child well being measurement; survey; childhood; Poland

PL

indukcja reguł decyzjnych; ocena jakości dzieciństwa; badania; dziecko; Polska

• Wydawca: Komisja Informatyki Polskiej Akademii Nauk, Oddział w Gdańsku
• Czasopismo: Metody Informatyki Stosowanej
• Rocznik: 2010
• Tom: nr 4 (24)
• Strony: 5--10
• Opis fizyczny: Bibliogr. 4 poz., rys., tab.

Twórcy

autor

Adamus E.

autor

Klęsk P.

autor

Kołodziejczyk J.

autor

Korzeń M.

autor

Piegat A.

autor

Pluciński M.

• West Pomeranian University of Technology, Szczecin Faculty of Computer Science and Information Technology

Bibliografia

• [1] A. K. Sen. Capability and Well-Being, pp. 30-54. The Quality of Life. Clarendon Press, Oxford, 1993.
• [2] T. Addabbo, M. D. Tommaso, G. Facchinetti. To what extent fuzzy set theory and structural equation modelling can measure functioningss? An application to child well being Materiali di Discussione del Dipartimento di Economia Politica, 468, 2004.
• [3] Report on women fertility 1960-2008. Technical report, Central Statistical Ofice, 2008. Available as http:///www.stat.gov.pl/cps/rde!xbcr/ gus/ PUBL_population_structure_07 _table7.xls.
• [4] P. Klęsk, M. Korzeń, W. Piesiak. 1nduction of decision rules for classification, Pareto-optimal rules: a case study on medical data set of blood DNA mutations and cancers. Polish Journal of Environmental Studies, 16(4A):116-119, 2007.