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\iteman{io-port 06105337}
\itemau{Skrobanek, Pawe{\l}; Maciejewski, Henryk; Dobrowolski, Maciej; Unold, Olgierd; Walkowicz, Ewa}
\itemti{Comparison of data exploration methods and the BLUP method in application to the animals breeding.}
\itemso{Huang, De-Shuang (ed.) et al., Intelligent computing theories and applications. 8th international conference, ICIC 2012, Huangshan, China, July 25--29, 2012. Proceedings. Berlin: Springer (ISBN 978-3-642-31575-6/pbk). Lecture Notes in Computer Science 7390. Lecture Notes in Artificial Intelligence, 74-81 (2012).}
\itemab
Summary: The evaluation of a breeding value is one of the most important elements of a work of a breeder. One of the frequently used method of evaluation is the BLUP Animal Model method (Best Linear Unbiased Prediction). The aim of this study is to evaluate the usefulness of data mining methods applied for the prediction of the breeding value of the planned (yet unborn) offspring. Quality assessment of the results was performed using data from the offspring and to the standard analysis using BLUP method. The study was conducted with the use of the populations of the Silesian horses.
\itemrv{~}
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\itemut{genetic dependencies in data mining; biological population data base; prediction}
\itemli{doi:10.1007/978-3-642-31576-3\_10}
\end