Buscar
Mostrando ítems 1-6 de 6
Determinants of researchgate (rg) score for the top 100 of Latin American universities at webometrics
(Communications in Computer and Information Science, 2019-07-26)
This paper has the purpose of establishing the variables that explain
the behavior of ResearchGate for the Top100 Latin American universities
positioned in Webometrics database for January 2017. For this purpose, a ...
An intelligent strategy for faults location in distribution networks with distributed generation
(Journal of Intelligent and Fuzzy Systems, 2019)
The exact location of faults in the electrical distribution systems is a problem that affects not only the users, but
also the companies providing the electric service. With greater time invested in this period, the losses ...
Citescore of publications indexed in Scopus: an implementation of panel data
(Communications in Computer and Information Science, 2019-07-26)
This article is intended to establish the variables that explain the behavior of the CiteScore metrics from 2014 to 2016, for journals indexed in Scopus in 2017. With this purpose, journals with a CiteScore value greater ...
Early warning system based on data mining to identify crime patterns
(Communications in Computer and Information Science, 2019-07-26)
The analysis of criminal information is critical for the purpose of
preventing the occurrence of offenses, so the crime records committed in the
past are analyzed including perpetrators. The main objective was to ...
Factors affecting the big data adoption as a marketing tool in SMEs
(Communications in Computer and Information Science, 2019-07-26)
The change brought by Big Data about the way to analyze the data is
revolutionary. The technology related to Big Data supposes a before and after in
the form of obtaining valuable information for the companies since it ...
Data mining to identify risk factors associated with university students dropout
(Communications in Computer and Information Science, 2019-07-26)
. This paper presents the identification of university students dropout
patterns by means of data mining techniques. The database consists of a series of
questionnaires and interviews to students from several universities ...