Automatic Design of Decision-Tree Induction Algorithms / / by Rodrigo C. Barros, André C.P.L.F de Carvalho, Alex A. Freitas
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| Autore: |
Barros Rodrigo C
|
| Titolo: |
Automatic Design of Decision-Tree Induction Algorithms / / by Rodrigo C. Barros, André C.P.L.F de Carvalho, Alex A. Freitas
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Edizione: | 1st ed. 2015. |
| Descrizione fisica: | 1 online resource (184 p.) |
| Disciplina: | 004 |
| 006.312 | |
| 006.4 | |
| Soggetto topico: | Data mining |
| Pattern recognition | |
| Data Mining and Knowledge Discovery | |
| Pattern Recognition | |
| Persona (resp. second.): | de CarvalhoAndré C.P.L.F |
| FreitasAlex A | |
| Note generali: | Description based upon print version of record. |
| Nota di bibliografia: | Includes bibliographical references. |
| Nota di contenuto: | Introduction -- Decision-Tree Induction -- Evolutionary Algorithms and Hyper-Heuristics -- HEAD-DT: Automatic Design of Decision-Tree Algorithms -- HEAD-DT: Experimental Analysis -- HEAD-DT: Fitness Function Analysis -- Conclusions. |
| Sommario/riassunto: | Presents a detailed study of the major design components that constitute a top-down decision-tree induction algorithm, including aspects such as split criteria, stopping criteria, pruning and the approaches for dealing with missing values. Whereas the strategy still employed nowadays is to use a 'generic' decision-tree induction algorithm regardless of the data, the authors argue on the benefits that a bias-fitting strategy could bring to decision-tree induction, in which the ultimate goal is the automatic generation of a decision-tree induction algorithm tailored to the application domain of interest. For such, they discuss how one can effectively discover the most suitable set of components of decision-tree induction algorithms to deal with a wide variety of applications through the paradigm of evolutionary computation, following the emergence of a novel field called hyper-heuristics. "Automatic Design of Decision-Tree Induction Algorithms" would be highly useful for machine learning and evolutionary computation students and researchers alike. |
| Titolo autorizzato: | Automatic Design of Decision-Tree Induction Algorithms |
| ISBN: | 3-319-14231-3 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910299226903321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
SpringerBriefs in Computer Science, . 2191-5768