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Bayesian classifier applied to higher education dropout
(Procedia Computer Science, 2019)
The research proposes a new simple Bayesian classifier (SBND) with Markov from the class variable to a network structure. Experimental tests are carried out by working a dropout analysis on students enrolled in the Faculty ...
Competitiveness indicator in colombia through of multivariable statistics
(Universidad de la Costa, 2019)
The objective of this research is to estimate a competitiveness indicator in Colombia through a factorial methodology of principal components. A competitiveness indicator was estimated presenting significant correlations ...
Dropout-permanence analysis of university students using data mining
(Universidad de la Costa, 2019)
Dropout is a rejection method present in every educational system,
related to the various selection processes, academic performance, and the efficiency of the system in general, that is, the result of the combination and ...
Hybrid cloud computing architecture based on open source technology
(Universidad de la Costa, 2019)
The advance of technologies such as distributed computing, Internetand grid computing, have enabled Cloud Computing to become part of a new model of computing and business. Cloud Computing is transforming the traditional ...
Demand forecasting method using artificial neural networks
(Universidad de la Costa, 2019)
Based on a forecast, the decision maker can determine the capacity required to meet a certain forecast demand, as well as carry out in advance the balance of capacities in order to avoid underusing or bottlenecks. This ...
Integration of data mining techniques to postgreSQL database manager system
(Procedia Computer Science, 2019)
Data mining is a technique that allows to obtain patterns or models from the gathered data. This technique is applied in all kind of environments such as in the biological field, educational and financial applications, ...
Database knowledge discovery In marketing companies
(Universidad de la Costa, 2019)
In recent years, technological development in both the computing and data transmission fields has allowed the storage and management of large volumes of data. Today, businesses move in highly competitive and continuous ...
Clustering of top 50 latin american universities in SIR, QS, ARWU, and webometrics rankings
(Procedia Computer Science, 2019)
Every year, international rankings of the universities are published reflecting their positioning through the evaluation of academic and research quality criteria established in their methodologies. The positioning of Latin ...
Intellectual property in colombian museums: an application of machine learning
(Universidad de la Costa, 2019)
The purpose of this research is to answer the following guiding question: how can the behavior of museum networks in Colombia be predicted with respect to the protection of intellectual property (copyright, confidential ...
Retraction: Electrical consumption patterns through machine learning
(Corporación Universidad de la Costa, 2019)
This article, and others within this volume, has been retracted by IOP Publishing following clear evidence of plagiarism and citation manipulation. This work was originally published in Spanish (1) and has been translated ...