Abstract
In biological populations genetic correlations between individuals are the result of genetic relatedness. In its standard form, the data is not stored in a way that lets users easily take into account the information in the processes of data mining. The aim of this study was to verify whether and to what extent inclusion of this additional information (in the form of grandparents and great grandparents of data) affects the results of data mining. This paper is one of the stages of interdisciplinary research project investigating a population of Silesian horses. The database contains breeding history of roughly the complete population of Silesian horses bred in Poland over the last 50 years. Tests were conducted with a subset of individuals known to their parents due to the assumption that we try to predict characteristics of offspring, knowing the characteristics of ancestors (parents, grandparents, great grandparents).
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Skrobanek, P., Unold, O., Walkowicz, E., Maciejewski, H., Dobrowolski, M. (2012). Study on the Impact of Affinity on the Results of Data Mining in Biological Populations. In: Pavón, J., Duque-Méndez, N.D., Fuentes-Fernández, R. (eds) Advances in Artificial Intelligence – IBERAMIA 2012. IBERAMIA 2012. Lecture Notes in Computer Science(), vol 7637. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34654-5_12
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DOI: https://doi.org/10.1007/978-3-642-34654-5_12
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