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Feature selection by multi-objective optimisation: application to network anomaly detection by hierarchical self-organising maps
(Universidad de la Costa, 2014-08-11)
Feature selection is an important and active issue in clustering and classification problems. By choosing an adequate feature subset, a dataset dimensionality reduction is allowed, thus contributing to decreasing the ...
Multiple linear regression model applied to the projection of electricity demand in Colombia
(International Journal of Energy Economics and Policy, 2019-10-10)
The exigencies as soon as to competitiveness and productivity have influenced in the energetic consumption and the demand of electrical energy in Colombia,
reason why at the present time it is of much interest and utility ...
Enkephalon - technological platform to support the diagnosis of alzheimer’s disease through the analysis of resonance images using data mining techniques
(Universidad de la Costa, 2019-07-19)
Dementia can be considered as a decrease in the cognitive function of the person. The main diseases that appear are Alzheimer and vascular dementia. Today, 47 million people live with dementia around the world. The estimated ...
Predictive variables for agile development merging cloud computing services
(IEEE Access, 2019-08-07)
Cloud Technology is a most challenging modern area in the field of modern technologies in whichassets(e.g.,CPUandcapacity)canberentedanddischargedbytheclientsthroughinterneton-demand basis. The cloud computing has been ...
Modelo de detección de intrusiones en sistemas de red, realizando selección de características con FDR y entrenamiento y clasificación con SOM
(Corporación Universidad de la Costa, 2012-10-31)
Los Sistemas de Detección de Intrusos (IDS, por sus siglas en inglés) comerciales actuales clasifican el tráfico de red, detectando conexiones normales e intrusiones, mediante la aplicación de métodos basados en firmas; ...
Using text mining tools to define trends in territorial competitiveness indicators
(Universidad de la Costa, 2019)
For this study, articles from the fields of Social Sciences; Economics; Econometrics and Finance; Business and Management; and Accounting have been monitored for the period from 1979 to 2019. VOSviewer® was used to create, ...
Mediación de los objetos virtuales de aprendizaje en el desarrollo de competencias matemáticas en estudiantes de ingeniería
(Formación Universitaria, 2018)
El presente artículo analiza la contribución de los Objetos Virtuales de Aprendizaje (OVA) al desarrollo de competencias matemáticas en estudiantes de ingeniería de dos universidades de Barranquilla-Colombia. Se aplicó una ...
Implementation of an intrusion detection system based on self organizing map
(Journal of theoretical and applied information technology, 2015-01-31)
The main purpose of this study is to identify a methodology to validate the effectiveness of an Intrusion Detection Systems proposed in three phases (selection, training and classification) using FDR to feature selection ...
Voltage sensitivity analysis to determine the optimal integration of distributed generation in distribution systems
(International Journal of Electrical and Computer Engineering, 2019-02)
This paper presents a voltage sensitivity analysis with respect to the real power injected with renewable energies to determine the optimal integration of distributed generation (DG) in distribution systems (DS). The best ...
Normalized gain and least squares to measure of the effectiveness of a physics course
(Lecture Notes in Artificial Intelligence, 2019-06-29)
We present a quantitative analysis using the concepts of Normalized Gain and Least Squares in a process of Physics Teaching. This paper presents the results of the strategy based in The Construction of Prototypes (TCP) and ...