Automatic Design of Decision-Tree Induction Algorithms
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 ...
| Κύριοι συγγραφείς: | , , |
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| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
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| Σειρά: | SpringerBriefs in Computer Science,
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.