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| Titel: |
Evolutionary approach for automated component-based decision tree algorithm design |
| Auteur: |
Jovanović, Miloš Delibašić, Boris Vukićević, Milan Suknović, Milija Martić, Milan |
| Verschenen in: |
Intelligent data analysis |
| Paginering: | Jaargang 18 (2014) nr. 1 pagina's 63-77 |
| Jaar: |
2014-01-07 |
| Inhoud: |
This paper proposes a framework for automated design of component-based decision tree algorithms. These algorithms are being constructed by interchanging components extracted from decision tree algorithms and their partial improvements. Manual selection of the best-suited algorithm for a specific problem is a complex task because of the huge algorithmic space derived from component-based design. The proposed framework searches through the algorithmic space with an evolutionary algorithm by interchanging components and tuning parameters, and finds a near optimal algorithm for a specific problem. Through experiments we show that using this meta-heuristic is justified in automated component-based algorithm design. This approach is useful not only as an algorithm design help, but also as a technology enhanced learning tool, which aids the understanding of the algorithms. |
| Uitgever: |
IOS Press |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
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