BECAS
ZÁRATE Marcos Daniel
artículos
Título:
Estimate of the Anesthesia Stage in Southern Elephant Seals using WEKA Data Mining Tool
Autor/es:
MARCOS ZÁRATE; MIRTHA LEWIS
Revista:
International Journal of Applied Information Systems (IJAIS)
Editorial:
Foundation of Computer Science (FCS)
Referencias:
Lugar: New York; Año: 2016 vol. 11 p. 48 - 48
Resumen:
Prediction systems are techniques that build and study new forecasts through a branch of the artificial intelligence called Machine Learning. In this work it is estimate the time that remains anesthetized a southern elephant seal to which you have applied a combination of drugs (Zoletil®), the fundamental objective of anesthesia is to avoid risky situations to researchers studying this species. To know these times, data mining techniques and classification algorithms are used, particularly algorithms it were compared J48, SMO, Random Tree, NB Tree y Naïve Bayes with data mining tool WEKA and a data set containing the records of 96 individuals undergoing anesthesia procedure. It is concluded that after tests (Random Tree) was the classification algorithm that best responded, with an accuracy of 98. 79%.