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Now showing items 11-20 of 66
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 ...
Data mining and social network analysis on Twitter
(Universidad de la Costa, 2020-03-05)
The emergence of a networked social structure in the last decade of twentieth century is accelerated by the evolution of information technologies and, in particular, the Internet has given rise to the full emergence of ...
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 ...
Compilation of a social network lexicon for determining the profile of authors
(Corporación Universidad de la Costa, 2020-11-05)
The use of social networks is steadily increasing worldwide. Hundreds of users daily register in the different existing platforms, therefore, the content extracted from the social networks is fundamental for tasks such as ...
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 ...
Design and implementation of a system to determine tax evasion through de stochastic techniques
(Corporación Universidad de la Costa, 2020)
The dominant view on the study and practice of the tax service, mentions that taxpayers will always seek their own interest, for that reason taxes will be considered costs that could be avoided, unless the probability of ...
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 ...