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Multi-dimension Tensor Factorization Collaborative Filtering Recommendation for Academic Profiles
(International Symposium on Neural Networks, 2019-06-26)
The choice of academic itineraries and/or optional subjects to attend is not usually an easy decision since, in most cases, students lack the information, maturity, and knowledge required to make right decisions. This paper ...
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 ...
Competitions of multi-agent systems for teaching artificial intelligence
(Universidad de la Costa, 2019)
This paper presents an approach based on competitions of multiagent systems as the basis for teaching advanced topics in Artificial Intelligence.
The method was applied in the Cognitive Robotics course with students of ...
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 ...
Selection of the best regression model to explain the variables that influence labor accident electrical company case
(Medwell Journals, 2017)
The present research proposes an alternative to select the best model that explains the relation of the variables that influence the labor accident in an electric power company. Among the techniques and
tools used are ...
An intelligent approach for the design and development of a personalized system of knowledge representation
(Procedia Computer Science, 2019)
This article proposes a generic presentation system for hypermedia systems of adaptive teaching that is highly independent from the representation of domain knowledge and the application state maintenance. Generality is ...
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 ...
Intelligent and Distributed Data Warehouse for Student’s Academic Performance Analysis
(International Symposium on Neural Networks, 2019-06-26)
In the academic world, a large amount of data is handled each day, ranging from student’s assessments to their socio-economic data. In order to analyze this historical information, an interesting alternative is to implement ...
Recovery of scientific data using Intelligent Distributed Data Warehouse
(Procedia Computer Science, 2019)
A Retrieval System requires several components that define its functionality and behavior. In the case of a meta-search engine
for the retrieval of scientific data, a schema that defines the way to store such data is ...
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 ...