Reusable components in decision tree induction algorithms

We propose a generic decision tree framework that supports reusable components design. The proposed generic decision tree framework consists of several sub-problems which were recognized by analyzing well-known decision tree induction algorithms, namely ID3, C4.5, CART, CHAID, QUEST, GUIDE, CRUISE,...

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Veröffentlicht in:	Computational statistics Jg. 27; H. 1; S. 127 - 148
Hauptverfasser:	Suknovic, Milija, Delibasic, Boris, Jovanovic, Milos, Vukicevic, Milan, Becejski-Vujaklija, Dragana, Obradovic, Zoran
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer-Verlag 01.03.2012 Springer Nature B.V
Schlagworte:	Algorithms Carts Decision trees Economic Theory/Quantitative Economics/Mathematical Methods Exchanging Machine learning Mathematical analysis Mathematical models Mathematics and Statistics Open source software Original Paper Probability and Statistics in Computer Science Probability Theory and Stochastic Processes Replication Reusable components Statistics Studies Design Decision tree Algorithm Generic Framework Reusable components
ISSN:	0943-4062, 1613-9658
Online-Zugang:	Volltext
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