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dc.contributor.author
Zárate, Marcos Daniel  
dc.contributor.author
Lewis, Mirtha Noemi  
dc.date.available
2018-01-31T19:31:15Z  
dc.date.issued
2016-09  
dc.identifier.citation
Zárate, Marcos Daniel; Lewis, Mirtha Noemi; Estimate of the Anesthesia Stage in Southern Elephant Seals using WEKA Data Mining Tool; Foundation of Computer Science; International Journal of Applied Information Systems; 11; 4; 9-2016; 48-52  
dc.identifier.isbn
973-93-80892-65-1  
dc.identifier.issn
2249-0868  
dc.identifier.uri
http://hdl.handle.net/11336/35255  
dc.description.abstract
Prediction syst ems are techniques that build and study new forecasts through a branch of the artificial intelligence called Machine Lea rning. In this work it is estimate the time that remains anesthetized a southern elephant seal to which you have applied a combination of d rugs (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, SM O, 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%.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Foundation of Computer Science  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Machine Learning  
dc.subject
Weka  
dc.subject
Anesthesia  
dc.subject
Mirounga Leonina  
dc.subject
Classification  
dc.subject.classification
Ciencias de la Computación  
dc.subject.classification
Ciencias de la Computación e Información  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Estimate of the Anesthesia Stage in Southern Elephant Seals using WEKA Data Mining Tool  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2017-12-12T20:04:43Z  
dc.journal.volume
11  
dc.journal.number
4  
dc.journal.pagination
48-52  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Nueva York  
dc.description.fil
Fil: Zárate, Marcos Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Centro para el Estudio de Sistemas Marinos; Argentina  
dc.description.fil
Fil: Lewis, Mirtha Noemi. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Centro para el Estudio de Sistemas Marinos; Argentina  
dc.journal.title
International Journal of Applied Information Systems  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.ijais.org/archives/volume11/number4/zarate-2016-ijais-451603.pdf  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.5120/ijais2016451603