[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 …
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
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 …
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 …
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 …
utilizado como el principal componente en la fabricación de puertas. Para asegurar su …
Mahalanobis distance metric learning algorithm for instance-based data stream classification
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 …
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 …
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 …
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 …
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 …
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 …
significant economic losses. Identifying the elements that lead a customer to stop consuming …