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A tool for study of optimal decision trees

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2010) 6401 LNAI 353-360
DOI: 10.1007/978-3-642-16248-0_51
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Abstract

The paper describes a tool which allows us for relatively small decision tables to make consecutive optimization of decision trees relative to various complexity measures such as number of nodes, average depth, and depth, and to find parameters and the number of optimal decision trees. © 2010 Springer-Verlag Berlin Heidelberg.

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Alkhalid, A., Chikalov, I., & Moshkov, M. (2010). A tool for study of optimal decision trees. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6401 LNAI, pp. 353–360). https://doi.org/10.1007/978-3-642-16248-0_51

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