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Conjunto de datos: Categorization of articles 2017 with authorship of Pontificia Universidad Católica de Chile, through the SDGs
(Pontificia Universidad Católica de Chile, 2021)
The dataset comprises a single list of publications exported from Web of Science (Clarivate Analytics) and Scopus (Elsevier) databases, to which a process was applied that eliminated duplicate records. 2,379 scientific ...
Conjunto de datos: Categorization of articles 2017 with authorship of Pontificia Universidad Católica de Chile, through the SDGs
(Datos de Investigación UC, 2021)
The dataset comprises a single list of publications exported from Web of Science (Clarivate Analytics) and Scopus (Elsevier) databases, to which a process was applied that eliminated duplicate records. 2,379 scientific ...
Methodology to categorize the research output of academic institutions, through the Sustainable Development goals (SDGs)
(2021)
Background: This article presents a methodology to categorize scientific publications according to the targets of the 17 Sustainable Development Goals (SDGs) of the United Nations. For the above, a dataset with bibliographic ...
Using the Web as corpus for self-training text categorization
(Springer Science+Business Media, 2009)
Using the Web as corpus for self-training text categorization
(Springer Science+Business Media, 2009)
A document is known by the company it keeps: neighborhood consensus for short text categorization
(Springer Science+Business Media B.V., 2013)
The over-indebtedness in action: an ethnographic research at NUDECON/Brazil
(2015)
This paper comes from an ethnographic study developed inside the Núcleo de Defesa do Consumidor - NUDECON, located at Rio de Janeiro’s Public Defenders Office during april and may 2013. The aim is to understand legal ...
Remote usability assessment of topic visualization interfaces with public participation data: a case study
(2021)
Citizen participation often faces challenges of transparency and accountability. Visualizations’s usability becomes key for public consultation activities. The tree map is frequently used to disseminate data and to give ...
Applying optimized hierarchical NCM classification to public purchases of products in BrazilApplying optimized hierarchical NCM classification to public purchases of products in Brazil
(Universidade Federal do Rio Grande do NorteBrasilUFRNResidência em Tecnologia da InformaçãoInstituto Metrópole Digital, 2022)
Dealing with Missing Data using a Selection Algorithm on Rough Sets
(ATLANTIS PRESS, 2018-01-01)
This paper discusses the so-called missing data problem, i.e. the problem of imputing missing values in information systems. A new algorithm, called the ARSI algorithm, is proposed to address the imputation problem of ...