Significance of condition attributes in child well-being analysis

• Autorzy: Adamus Ewa , Klęsk Przemysław , Kołodziejczyk Joanna , Korzeń Marcin , Piegat Andrzej , Pluciński Marcin
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

child well-being quality measurement; attribute selection

• Wydawca: Instytut Informatyki Uniwersytet Kazimierza Wielkiego
• Czasopismo: Studia i Materiały Informatyki Stosowanej
• Rocznik: 2011
• Tom: nr 4
• Strony: 11--16
• Opis fizyczny: Bibliogr. 8 poz., tab.

Twórcy

autor

Adamus Ewa

autor

Klęsk Przemysław

autor

Kołodziejczyk Joanna

autor

Korzeń Marcin

autor

Piegat Andrzej

autor

Pluciński Marcin

• Faculty of Computer Science and Information Systems, West Pomeranian University of Technology, Żołnierska 49, 71-062 Szczecin, Poland,

Bibliografia

• 1. Adamus E., Klęsk P., Kołodziejczyk J., Korzeń M., Piegat A. and Pluciński M.: Rules induction on child well being. Metody Informatyki Stosowanej, pp. 5-10, no. 4, 2010.
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• 4. Hall M.A., Holmes G.: Benchmarking Attribute Selection Techniques for Discrete Class Data Mining. IEEE Trans. on Knowl. and Data Eng., pp. 1437-1447, vol. 15, no. 6, 2003.
• 5. Pawlak Z.: Rough Sets. International Journal of Computer and Information Sciences, pp. 341-356, vol. 11, no. 5, 1982.
• 6. Sen A.K.: Capability and Well-Being, pp. 30-54. The Quality of Life. Clarendon Press, Oxford, 1993.
• 7. Shen Q., Jensen R.: Rough Sets, their Extensions and Applications. International Journal of Automation and Computing, pp. 100-106, 04(1), 2007.
• 8. Wang X., Yang J., Teng X., Xia W., Jensen R.: Feature selection based on rough sets and particle swarm optimization. Pattern Recognition Letters, pp. 459-471, no. 28, 2007.