Zobrazeno 1 - 10
of 251
pro vyhledávání: '"Solange Oliveira Rezende"'
Autor:
Ivan José dos Reis Filho, Jamille de Campos Coleti, Ricardo Marcondes Marcacini, Solange Oliveira Rezende
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110545- (2024)
This dataset involves a collection of soybean market news through web scraping from a Brazilian website. The news articles gathered span from January 2015 to June 2023 and have undergone a labeling process to categorize them as relevant or non-releva
Externí odkaz:
https://doaj.org/article/eb3724434409498a875abb2fc2f436e7
Publikováno v:
Revista da CGU, Vol 15, Iss 27 (2023)
Em março de 2022 quando divulgamos o edital da chamada de trabalhos para o Dossiê Especial “Ciência de Dados na Administração Pública: Desafios e Oportunidades” tínhamos uma expectativa otimista em relação à sua recepção no campo, sob
Externí odkaz:
https://doaj.org/article/6889f5db51b74aeca3ffd0d31a92695e
Publikováno v:
Revista da CGU, Vol 14, Iss 26 (2022)
Externí odkaz:
https://doaj.org/article/4e13eab87ba94d3d9b8025f319c4fa5b
Publikováno v:
IEEE Access, Vol 9, Pp 91604-91613 (2021)
Deep learning and neural language models have obtained state-of-the-art results in aspects extraction tasks, in which the objective is to automatically extract characteristics of products and services that are the target of consumer opinion. However,
Externí odkaz:
https://doaj.org/article/16d891cc955344dc959037621352f2fa
Publikováno v:
MethodsX, Vol 9, Iss , Pp 101758- (2022)
Forecasting models in the financial market generally use quantitative time-series data. However, external factors can influence data in time-series, such as weather events, economic crises, and the foreign exchange market. This information is not exp
Externí odkaz:
https://doaj.org/article/e479046790fe453db77d33217653904d
Autor:
Gabriel Ferraz Ferreira, Marcos Gonçalves Quiles, Tiago Santana Nazaré, Solange Oliveira Rezende, Marcelo Demarzo
Publikováno v:
JMIR Research Protocols, Vol 10, Iss 6, p e26448 (2021)
BackgroundA systematic review can be defined as a summary of the evidence found in the literature via a systematic search in the available scientific databases. One of the steps involved is article selection, which is typically a laborious task. Mach
Externí odkaz:
https://doaj.org/article/b3c1548e70504418b00f49889c6463a0
Publikováno v:
CLEI Electronic Journal, Vol 22, Iss 3 (2019)
In this paper, the Filtered-Association Rules Network (Filtered-ARN) is presented to structure, prune, and analyze a set of association rules in order to construct candidate hypotheses. The Filtered-ARN algorithm selects association rules with the us
Externí odkaz:
https://doaj.org/article/e477d18af17b4ec89dcc46a30f514bcd
Publikováno v:
CLEI Electronic Journal, Vol 22, Iss 3 (2019)
The discovery of knowledge in textual databases is an approach that basically seeks for implicit relationships between different concepts in different documents written in natural language, in order to identify new useful knowledge. To assist in this
Externí odkaz:
https://doaj.org/article/415a810809734254869235c000452ba7
Publikováno v:
Journal of the Brazilian Computer Society, Vol 23, Iss 1, Pp 1-20 (2017)
Abstract As text semantics has an important role in text meaning, the term semantics has been seen in a vast sort of text mining studies. However, there is a lack of studies that integrate the different research branches and summarize the developed w
Externí odkaz:
https://doaj.org/article/bd133f72ad40450fac5533155f066e60
Autor:
Camila Vaccari Sundermann, Marcos Aurélio Domingues, Roberta Akemi Sinoara, Ricardo Marcondes Marcacini, Solange Oliveira Rezende
Publikováno v:
Information, Vol 10, Iss 2, p 42 (2019)
Recommender systems help users by recommending items, such as products and services, that can be of interest to these users. Context-aware recommender systems have been widely investigated in both academia and industry because they can make recommend
Externí odkaz:
https://doaj.org/article/e2fbc3d63f344eea8f6b22dd3c807ace