Methodology for the design of a student pattern recognition tool to facilitate the teaching-learning process through knowledge data discovery (big data)
A Viloria, JP Lis-Gutiérrez, M Gaitán-Angulo… - Data Mining and Big …, 2018 - Springer
Imagine a platform in which the teacher can access to identify patterns in the learning styles
of students attached to their course, and in turn this will allow you to know which …
of students attached to their course, and in turn this will allow you to know which …
Postharvest quality monitoring and variance analysis of peach and nectarine cold chain with multi-sensors technology
Fresh peaches and nectarines are very popular for their high nutritional and therapeutic
value. Unfortunately, they are prone to rapid deterioration after harvest, especially if the cold …
value. Unfortunately, they are prone to rapid deterioration after harvest, especially if the cold …
Integration of data mining classification techniques and ensemble learning for predicting the export potential of a company
In this research, data mining techniques are integrated with Ensemble Learning for
predicting the export potential of a company. The analysis covers the stages of …
predicting the export potential of a company. The analysis covers the stages of …
Sale forecast for basic commodities based on artificial neural networks prediction
The objective of this paper is to carry out the comparison and selection of a method to
forecast sales of basic food products efficiently. The source of data comes from a set of …
forecast sales of basic food products efficiently. The source of data comes from a set of …
Method for collecting relevant topics from Twitter supported by big data
There is a fast increase of information and data generation in virtual environments due to
microblogging sites such as Twitter, a social network that produces an average of 8, 000 …
microblogging sites such as Twitter, a social network that produces an average of 8, 000 …
Early warning method for the commodity prices based on artificial neural networks: SMEs case
J Silva, JCM Herazo, RHR Millán, OBP Lezama… - Procedia Computer …, 2019 - Elsevier
Abstract Applications based on Artificial Neural Networks (ANN) have been developed
thanks to the advance of the technological progress which has permitted the development of …
thanks to the advance of the technological progress which has permitted the development of …
Algorithm for Detecting Opinion Polarity in Laptop and Restaurant Domains
Knowing the state of public opinion regarding a product, the reputation of a celebrity or the
assessment of a political candidate is very useful in today's world. For example, in the …
assessment of a political candidate is very useful in today's world. For example, in the …
Thermographic imaging for use in artificial intelligence and vision algorithms
J Silva, AM Echeverría, N Varela… - IOP Conference Series …, 2020 - iopscience.iop.org
The constant technological innovation in devices for the acquisition of digital images such
as: energy-efficient and high-pixel sensors, memories with greater storage capacity and …
as: energy-efficient and high-pixel sensors, memories with greater storage capacity and …
on Open Source Technology
A Viloria¹, HH Palma, WC Basto… - … in Sensor, Cloud …, 2019 - books.google.com
The advance of technologies such as distributed computing, Internet and grid computing,
have enabled Cloud Computing to become part of a new model of computing and business …
have enabled Cloud Computing to become part of a new model of computing and business …
Time series decomposition using automatic learning techniques for predictive models
J Silva, HH Palma, WN Núñez… - Journal of Physics …, 2020 - iopscience.iop.org
This paper proposes an innovative way to address real cases of production prediction. This
approach consists in the decomposition of original time series into time sub-series according …
approach consists in the decomposition of original time series into time sub-series according …