Introduction
One of the key applications of statistical analysis and data mining is the development of the classification and prediction models. In both cases, significant improvements can be attained by limiting the number of model inputs. This can be done at two levels, namely by eliminating unnecessary attributes [3] and reducing the dimensionality of the data [12].Variety of methods have been proposed in both fields.
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Lacka, H., Grzenda, M. (2012). On the Evolutionary Search for Data Reduction Method. In: Omatu, S., De Paz Santana, J., González, S., Molina, J., Bernardos, A., RodrÃguez, J. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28765-7_63
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DOI: https://doi.org/10.1007/978-3-642-28765-7_63
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