[HTML][HTML] Una revisión sobre aprendizaje no supervisado de métricas de distancia

IC Pérez Verona, L Arco García - Revista Cubana de Ciencias …, 2016 - scielo.sld.cu
Muchos de los métodos de aprendizaje automático dependen del cálculo de distancias en
un espacio multidimensional para estimar la similitud entre dos ejemplos teniendo en …

[HTML][HTML] Bootstrap-LOCI data mining methodology for anomaly detection in buildings energy efficiency

A Tobar, M Flores, S Castillo-Páez, S Naya… - Energy Reports, 2023 - Elsevier
An automated methodology is proposed to identify anomalies in buildings' HVAC systems,
through Local Correlation Integral (LOCI) algorithm, improved by Bootstrap to obtain a rule …

Predicción de fraudes en el consumo de agua potable mediante el uso de minería de datos

FHT Espinosa, FFP Gisselot… - Universidad …, 2020 - uctunexpo.autanabooks.com
The fraudulent behavior in drinking water consumption is a major problem faced by water
treatment companies due to generates significant economic losses. Characterizing …

[HTML][HTML] Predicción de la calidad en revestimientos moldeados para puertas mediante el uso de minería de datos

F Troncoso-Espinosa, K Castro-Albornoz - Revista Tecnología en …, 2022 - scielo.sa.cr
Un revestimiento moldeado para puertas es un tablero de madera de alta densidad que es
utilizado como el principal componente en la fabricación de puertas. Para asegurar su …

Mahalanobis distance metric learning algorithm for instance-based data stream classification

JLR Perez, B Ribeiro, CM Perez - 2016 International Joint …, 2016 - ieeexplore.ieee.org
With the massive data challenges nowadays and the rapid growing of technology, stream
mining has recently received considerable attention. To address the large number of …

Subgroup classification model identifying the most influential factors in the mortality of patients with COVID-19 using data analysis

C Peña, F Peralta, R Hurtado - 2020 IEEE International Autumn …, 2020 - ieeexplore.ieee.org
This research assesses the health conditions of the people in the study and determines the
reason why a person dies after being infected with COVID-19. In this study, 538 sample …

Sentiment Analysis for a Humanist Framework: How Emotions are Recognized and Interpreted in the Age of Social Media.

RG Cabrera - Rupkatha Journal on Interdisciplinary Studies …, 2022 - search.ebscohost.com
Abstract Language is in constant evolution–this theory has been demonstrated most aptly
and comprehensively by Marshall McLuhan. Specialisation in the different areas of …

[PDF][PDF] Energy Reports

A Tobar, M Flores, S Castillo-Páez, S Naya… - 2023 - researchgate.net
abstract An automated methodology is proposed to identify anomalies in buildings' HVAC
systems, through Local Correlation Integral (LOCI) algorithm, improved by Bootstrap to …

[HTML][HTML] Quality prediction in molded door skin using data mining

F Troncoso-Espinosa, K Castro-Albornoz - Revista Tecnología en …, 2022 - scielo.sa.cr
Un revestimiento moldeado para puertas es un tablero de madera de alta densidad que es
utilizado como el principal componente en la fabricación de puertas. Para asegurar su …

Predicción de fuga de clientes en una empresa de distribución de gas natural mediante el uso de minería de datos

FHT Espinosa, JVR Tapia - Universidad …, 2020 - uctunexpo.autanabooks.com
Customer churn is a relevant problem faced by service companies and that can generate
significant economic losses. Identifying the elements that lead a customer to stop consuming …