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Improvements for determining the number of clusters in k-means for innovation databases in SMEs
(Procedia Computer Science, 2019)
ALGORITMO K-MEANS PARALELO BASEADO EM HADOOP-MAPREDUCE PARA MINERAÇÃO DE DADOS AGRÍCOLAS
(UNIVERSIDADE ESTADUAL DE PONTA GROSSABRComputação para Tecnologias em AgriculturaPrograma de Pós Graduação Computação AplicadaUEPG, 2017)
Análisis de trayectorias vehiculares GPS para evaluar su calidad de agrupamiento utilizando algoritmos clustering de minería de datos.
(Universidad de Guayaquil. Facultad de Ciencias Matemáticas y Físicas. Carrera de Ingeniería En Sistemas Computacionales, 2018)
El gran volumen de datos espaciales generados por diversos dispositivos: Smartphone, GPS y sensores etc. engloban patrones atractivos en datos, convirtiéndose en un tema interesante para investigadores motivados a encontrar ...
An aide diagnosis system based on k-means for insulin resistance assessment in eldery people from the Ecuadorian highlands
(Institute of Electrical and Electronics Engineers Inc., 2018)
The lack of standardized cut-off values for the surrogate methods to diagnose Insulin resistance (IR) and the fact that the sensitivity of these methods have been studied in specific populations have limited their use in ...
Una técnica de agrupación robusta para un enfoque Big Data: CLARABD para tipos de datos mixtos.
(Escuela Superior Politécnica de Chimborazo, 2019-06-11)
When a researcher does not have an a priori knowledge of the configuration of groups in a given data set, the need to perform a classification known as unsupervised classification emerges. In addition, the data set can be ...
Pipeline evaluation of clustering algorithms aimed at clinical data
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2018-05-22)
Disease understanding is key in designing effective treatments and diagnostic tools. A key aspect of this understanding is grouping the patients according to their phenotypes. Phenotypes are patterns in the characteristics ...
Centralized Algorithms Based on Clustering with Self-tuning of Parameters for Cooperative Target Observation
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2021)
An Effective Tool for the Experts' Recommendation Based on PROMETHEE II and Negotiation: Application to the Industrial Maintenance
In this article, we propose an expert recommendation tool that relies on the skills of experts and their interventions in collaboration. This tool provides us with a list of the most appropriate (effective) experts to solve ...
Análise de padrões na produção de cana de açúcar utilizando aprendizado de máquina
(Universidade Estadual Paulista (Unesp), 2019-06-10)
O presente trabalho buscou identificar padrões na produção de cana de por meio da utilização de Inteligência Artificial. Para tanto, foi realizada coleta de informações de fontes secundárias, com dados estatísticos fornecidos ...
A Preliminary Report on the Functioning and Data Collection Capabilities of a Web-based Nutrition Algorithm for Patients With Chronic Kidney Disease
(Elsevier B.V., 2012-05-01)
Objective: the purpose of this study was to test the functional and data collection capabilities of an online nutrition algorithm for patients with chronic kidney disease by comparing dietitian-selected nutrition diagnoses, ...