Clasificación de hongos por medio de aprendizaje automático Article Swipe
Ómar Danilo Castrillón
,
Jaime Antero Arango
,
Luis Castillo
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.4067/s0718-07642023000100151
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.4067/s0718-07642023000100151
Esta investigación tiene como propósito aplicar el aprendizaje automático y la minerÃa de datos para identificar si diferentes clases de hongos (nuevas o no) son benéficas (comestibles) o perjudiciales para el ser humano. La metodologÃa está basada en el algoritmo de clasificación J48 (Weka) y se utiliza la base de datos online de hongos Secondary Mushroom Dataset. La variable dependiente (clase) tienes dos estados (comestible o venenoso). Se consideran 17 variables independientes, estas incluyen el hábitat, la estación del año y caracterÃsticas morfológicas como el sombrero, los moretones o sangra, las branquias, el tallo y el anillo. Como resultado se encuentra, con una efectividad del 99.76%, que las variables más influyentes son: diámetro sombrero, superficie sombrero, color sombrero, altura tallo, grosor tallo, superficie tallo y color tallo. En conclusión, la metodologÃa desarrollada aquà permite identificar si un hongo es venenoso o no con una efectividad del 99.76%.
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Metadata
- Type
- article
- Language
- es
- Landing Page
- https://doi.org/10.4067/s0718-07642023000100151
- http://www.scielo.cl/pdf/infotec/v34n1/0718-0764-infotec-34-01-151.pdf
- OA Status
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- References
- 24
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4321019039Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.4067/s0718-07642023000100151Digital Object Identifier
- Title
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Clasificación de hongos por medio de aprendizaje automáticoWork title
- Type
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articleOpenAlex work type
- Language
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esPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-02-01Full publication date if available
- Authors
-
Ómar Danilo Castrillón, Jaime Antero Arango, Luis CastilloList of authors in order
- Landing page
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https://doi.org/10.4067/s0718-07642023000100151Publisher landing page
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https://www.scielo.cl/pdf/infotec/v34n1/0718-0764-infotec-34-01-151.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://www.scielo.cl/pdf/infotec/v34n1/0718-0764-infotec-34-01-151.pdfDirect OA link when available
- Concepts
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Humanities, Computer science, ArtTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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24Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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