Search
Now showing items 11-18 of 18
Comparação de ferramentas de análise de dados para uso no marketing digital
(Universidade Federal de São Carlos, 2024-01-31)
This paper focuses on the importance of data analysis in the field of digital marketing and choosing the most appropriate data analysis tool to optimize marketing strategies. The study compares three popular data analysis ...
Inteligência artificial para testes de software
(Universidade Federal de São Carlos, 2024-02-01)
The software development process is essential for applications used on a daily basis. Part of this process involves the stage of software testing, responsible for revealing the presence of defects and improving the ...
Utilização de aprendizagem de máquina para classificação de e-mails em categorias relevantes
(Universidade Federal de São Carlos, 2021-06-20)
One of the main technology tools currently used to exchange information is the email service. However, managing the high volume of information received is one of the major challenges encountered in using this service in ...
Programação linear, linear inteira e os algoritmos Simplex e Branch and Bound: Problemas e aplicações em otimização
(Universidade Federal de São Carlos, 2021-06-17)
Optimization problems are those in which the objective is to maximize or minimize a function, called an objective function. In the optimization process, restrictions on decision variables are determined, according to which ...
Infraestrutura computacional altamente replicável e portável para pesquisa em Ciência de Dados utilizando OpenHPC
(Universidade Federal de São Carlos, 2021-06-16)
High-performance computing or HPC refers to the use of supercomputers or the use of multiple computers in tasks that require a large amount of processing. An HPC infrastructure is a requirement to carry out research in the ...
Método escalável para aproximar uma MST utilizando um grafo de k vizinhos mais próximos
(Universidade Federal de São Carlos, 2021-06-25)
Finding the Minimum Spanning Tree (MST) consists of inducing a spanning tree whose
sum of edge costs is minimal. Among many applications, the MST is widely used in
unsupervised machine learning algorithms, such as ...
A Study of the ISOMAP Algorithm and Its Applications in Machine Learning
(Universidade Federal de São Carlos, 2015-12-11)
This project aims to study the foundations of nonlinear dimensionality reduction through manifold learning with the algorithm known as Isometric Feature Mapping (ISOMAP) and observe the application of the algorithm in ...
Seleção de SNPs utilizando random forests
(Universidade Federal de São Carlos, 2020-07-02)
Single Nucleotide Polymorphisms (SNPs) are single-base variations in the nucleotide sequence of different individuals or between homologous sequences within a living being. A large part of genetic variations occur as SNPs. ...