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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 ...
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 ...
Recommendation of collaborative filtering for a technological surveillance model using Multi-Dimension Tensor Factorization
(Procedia Computer Science, 2019)
Technological surveillance in research centers and universities focuses on carrying out a systematic follow-up on the development
of research lines, the research leaders, the possibilities of scientific-technological ...
Method for estimating height in people using multivariable statistics
(Procedia Computer Science, 2019)
Determining the sex, age, height, and race of the subject is the initial phase in the identification of bone remains, as a background, it allows to build a biological profile of an individual, which is the first step for ...
Effect on the demand and stock returns: cross-sectional of Big Data and time-series analysis
(Universidad de la Costa, 2019-11-05)
For reducing the degree of uncertainty caused by constant change in the environment, large, medium or small, private or public organizations must support their decisions in something more than experience or intuition; they ...
Learning style preferences of college students using big data
(Procedia Computer Science, 2019)
Learning styles is one of the most studied topics in the field of education and the research results have generated relevant changes in the teaching-learning process. Currently, there are several theoretical models that ...
Improvements for determining the number of clusters in k-means for innovation databases in SMEs
(Procedia Computer Science, 2019)
The Automatic Clustering using Differential Evolution (ACDE) is one of the grouping methods capable of automatically
determining the number of the cluster. However, ACDE continues making use of the strategy manual to ...