Abstract
In the paper, we present a novel approach to calculating a new (extra) attribute (feature) using a constructive feature induction mechanism. The problem being solved is founded on coefficients for values of existing attributes determined empirically using evolutionary strategies with fitness functions based on parameters calculated from decision trees generated for extended decision tables.
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Wrzesień, M., Paja, W., Pancerz, K. (2011). A Constructive Feature Induction Mechanism Founded on Evolutionary Strategies with Fitness Functions Generated on the Basis of Decision Trees. In: Yao, J., Ramanna, S., Wang, G., Suraj, Z. (eds) Rough Sets and Knowledge Technology. RSKT 2011. Lecture Notes in Computer Science(), vol 6954. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24425-4_14
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DOI: https://doi.org/10.1007/978-3-642-24425-4_14
Publisher Name: Springer, Berlin, Heidelberg
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