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Electrical consumption patterns through machine learning
(Journal of Physics: Conference Series, 2020)
Electricity distribution companies have been incorporating new technologies that allow them to obtain complete information in real time about their customers´ consumption. Thus, a new concept called "Smart Metering" has ...
Retraction: Electrical consumption patterns through machine learning
(Corporación Universidad de la Costa, 2019)
This article, and others within this volume, has been retracted by IOP Publishing following clear evidence of plagiarism and citation manipulation. This work was originally published in Spanish (1) and has been translated ...
Efficiency of mining algorithms in academic indicators
(Journal of Physics: Conference Series, 2020)
Data Mining is the process of analyzing data using automated methodologies to find hidden patterns [1]. Data mining processes aim at the use of the dataset generated by a process or business in order to obtain information ...
Retraction: using Big Data to determine potential dropouts in higher education
(Corporación Universidad de la Costa, 2020)
In higher education, student dropout is a relevant problem, not just in Latin America but also in developed countries. Although there is no consensus to measure the education quality, one of the important indicators of ...
Data mining applied in school dropout prediction
(Journal of Physics: Conference Series, 2020)
In recent years, many studies have emerged about regarding the topic of school failure, showing a growing interest in determining the multiple factors that may influence it [1]. Most of the researches that attempt to solve ...
Intelligent model for electric power management: patterns
(Journal of Physics: Conference Series, 2020)
When talking about electric power, the first thing to think about is whether enough electrical energy is generated to use without paying attention to it, similar to thinking that water will never runs out, but when faced ...