Decision Tree Induction using Adaptive FSA

Autor: Hemerson Pistori, Joao Jose Neto
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: CLEI Electronic Journal, Vol 6, Iss 1 (2018)
Druh dokumentu: article
ISSN: 0717-5000
DOI: 10.19153/cleiej.6.1.4
Popis: This paper introduces a new algorithm for the induction of decision trees, based on adaptive techniques. One of the main feature of this algorithm is the application of automata theory to formalize the problem of decision tree induction and the use of a hybrid approach, which integrates both syntactical and statistical strategies. Some experimental results are also pre- sented indicating that the adaptive approach is useful in the construction of efficient learning algorithms.
Databáze: Directory of Open Access Journals