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Decision Tree based Classifiers for Large Datasets
(Computación y Sistemas; Vol. 17 No. 1, 2013-03-06)
Abstract: In this paper, several algorithms have been developed for building decision trees from large datasets. These algorithms overcome some restrictions of the most recent algorithms in the state of the art. Three of ...
Inteligência Artificial para a detecção e classificação de mensagens de texto relevantes em evidências criminais
(Universidade Federal do Rio Grande do NorteBrasilUFRNBacharelado em CIências da ComputaçãoDepartamento de Informática e Matemática Aplicada, 2021-09-03)
In a criminal investigation, it is common to gather many devices such as smartphones, laptops, computers, and other devices belonging to suspects. The forensic analyst, the professional responsible for analyzing these ...
HCAIM: a discretizer for the hierarchical classification scenario applied to bioinformatics datasets
(Universidade Federal do Ceará, 2018)
Using a naive Bayesian classifier methodology for loan risk assessment: evidence from a Tunisian commercial bank
(Universidad ESAN. ESAN EdicionesPE, 2017-06-01)
Purpose – Loan default risk or credit risk evaluation is important to financial institutions which provide loans to businesses and individuals. Loans carry the risk of being defaulted. To understand the risk levels of ...
Predicting information credibility in time-sensitive social media
(Emerald Group Publishing, 2013)
Purpose – Twitter is a popular microblogging service which has proven, in recent years, its potential
for propagating news and information about developing events. The purpose of this paper is to focus
on the analysis ...