Evaluating the impact of a two-stage multivariate data cleansing approach to improve to the performance of machine learning classifiers: a case study in human activity recognition

Human activity recognition (HAR) is a popular field of study. The outcomes of the projects in this area have the potential to impact on the quality of life of people with conditions such as dementia. HAR is focused primarily on applying machine learning classifiers on data from low level sensors suc...

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Autores:
Neira Rodado, Dionicio
Nugent, Christopher
Cleland, Ian
Velasquez, Javier
Viloria, Amelec
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/7755
Acceso en línea:
https://hdl.handle.net/11323/7755
https://repositorio.cuc.edu.co/
Palabra clave:
HAR
dataset quality
machine learning
multivariate analysis
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 International