Use of neural networks to determine the rating of an application published in the Google Play Store
Descripción del Articulo
Artificial intelligence is the combination of algorithms written in the form of computer code in order to be executed on a computer to emulate behaviors similar to human intelligence. In this work, the use of neural networks will be sought, which are part of artificial intelligence and allow us to s...
| Autores: | , , , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2023 |
| Institución: | Universidad La Salle |
| Repositorio: | Revistas - Universidad La Salle |
| Lenguaje: | español |
| OAI Identifier: | oai:ojs.revistas.ulasalle.edu.pe:article/87 |
| Enlace del recurso: | https://revistas.ulasalle.edu.pe/innosoft/article/view/87 https://doi.org/10.48168/innosoft.s11.a87 https://purl.org/42411/s11/a87 https://n2t.net/ark:/42411/s11/a87 |
| Nivel de acceso: | acceso abierto |
| Materia: | neural networks numpy tensorflow missing values outliers redes neuronales flujo tensorial valores perdidos valores atípicos |
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Use of neural networks to determine the rating of an application published in the Google Play StoreUso de las redes neuronales para determinar la calificación de una aplicación publicada en Google Play StoreTito Durand, Rudy RobertoGuevara Gutierrez, Marcelo AndreMoran Fuño, Jeampier AndersonAlvan Ventura, Edsel Yaelneural networksnumpytensorflowmissing valuesoutliersredes neuronalesnumpyflujo tensorialvalores perdidosvalores atípicosArtificial intelligence is the combination of algorithms written in the form of computer code in order to be executed on a computer to emulate behaviors similar to human intelligence. In this work, the use of neural networks will be sought, which are part of artificial intelligence and allow us to solve prediction problems. A dataset based on Google Play Store app downloads and their features will be modified and the information processed to obtain output information.La inteligencia artificial es la combinación de algoritmos escritos en forma de código computacional con el fin de que se ejecuten en una computadora para emular comportamientos similares a la inteligencia humana. En este trabajo, se buscará el uso de las redes neuronales, las cuales son parte de la inteligencia artificial y, nos permiten solucionar problemas de predicción. Se modificará un dataset basado en las descargas de aplicaciones de Google Play Store y sus características y se procesará la información para obtener información de salida.Universidad La Salle2023-03-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionJournal papertextArtículos originalesapplication/pdftext/htmlhttps://revistas.ulasalle.edu.pe/innosoft/article/view/87https://doi.org/10.48168/innosoft.s11.a87https://purl.org/42411/s11/a87https://n2t.net/ark:/42411/s11/a87Innovation and Software; Vol 4 No 1 (2023): March - August; 161-197Innovación y Software; Vol. 4 Núm. 1 (2023): Marzo - Agosto; 161-1972708-09352708-0927https://doi.org/10.48168/innosoft.s11https://purl.org/42411/s11https://n2t.net/ark:/42411/s11reponame:Revistas - Universidad La Salleinstname:Universidad La Salleinstacron:USALLEspahttps://revistas.ulasalle.edu.pe/innosoft/article/view/87/111https://revistas.ulasalle.edu.pe/innosoft/article/view/87/112https://purl.org/42411/s11/a87/g111https://purl.org/42411/s11/a87/g112https://n2t.net/ark:/42411/s11/a87/g111https://n2t.net/ark:/42411/s11/a87/g11220232023Derechos de autor 2023 Innovación y Softwarehttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:ojs.revistas.ulasalle.edu.pe:article/872025-07-03T08:02:10Z |
| dc.title.none.fl_str_mv |
Use of neural networks to determine the rating of an application published in the Google Play Store Uso de las redes neuronales para determinar la calificación de una aplicación publicada en Google Play Store |
| title |
Use of neural networks to determine the rating of an application published in the Google Play Store |
| spellingShingle |
Use of neural networks to determine the rating of an application published in the Google Play Store Tito Durand, Rudy Roberto neural networks numpy tensorflow missing values outliers redes neuronales numpy flujo tensorial valores perdidos valores atípicos |
| title_short |
Use of neural networks to determine the rating of an application published in the Google Play Store |
| title_full |
Use of neural networks to determine the rating of an application published in the Google Play Store |
| title_fullStr |
Use of neural networks to determine the rating of an application published in the Google Play Store |
| title_full_unstemmed |
Use of neural networks to determine the rating of an application published in the Google Play Store |
| title_sort |
Use of neural networks to determine the rating of an application published in the Google Play Store |
| dc.creator.none.fl_str_mv |
Tito Durand, Rudy Roberto Guevara Gutierrez, Marcelo Andre Moran Fuño, Jeampier Anderson Alvan Ventura, Edsel Yael |
| author |
Tito Durand, Rudy Roberto |
| author_facet |
Tito Durand, Rudy Roberto Guevara Gutierrez, Marcelo Andre Moran Fuño, Jeampier Anderson Alvan Ventura, Edsel Yael |
| author_role |
author |
| author2 |
Guevara Gutierrez, Marcelo Andre Moran Fuño, Jeampier Anderson Alvan Ventura, Edsel Yael |
| author2_role |
author author author |
| dc.subject.none.fl_str_mv |
neural networks numpy tensorflow missing values outliers redes neuronales numpy flujo tensorial valores perdidos valores atípicos |
| topic |
neural networks numpy tensorflow missing values outliers redes neuronales numpy flujo tensorial valores perdidos valores atípicos |
| description |
Artificial intelligence is the combination of algorithms written in the form of computer code in order to be executed on a computer to emulate behaviors similar to human intelligence. In this work, the use of neural networks will be sought, which are part of artificial intelligence and allow us to solve prediction problems. A dataset based on Google Play Store app downloads and their features will be modified and the information processed to obtain output information. |
| publishDate |
2023 |
| dc.date.none.fl_str_mv |
2023-03-30 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Journal paper text Artículos originales |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://revistas.ulasalle.edu.pe/innosoft/article/view/87 https://doi.org/10.48168/innosoft.s11.a87 https://purl.org/42411/s11/a87 https://n2t.net/ark:/42411/s11/a87 |
| url |
https://revistas.ulasalle.edu.pe/innosoft/article/view/87 https://doi.org/10.48168/innosoft.s11.a87 https://purl.org/42411/s11/a87 https://n2t.net/ark:/42411/s11/a87 |
| dc.language.none.fl_str_mv |
spa |
| language |
spa |
| dc.relation.none.fl_str_mv |
https://revistas.ulasalle.edu.pe/innosoft/article/view/87/111 https://revistas.ulasalle.edu.pe/innosoft/article/view/87/112 https://purl.org/42411/s11/a87/g111 https://purl.org/42411/s11/a87/g112 https://n2t.net/ark:/42411/s11/a87/g111 https://n2t.net/ark:/42411/s11/a87/g112 |
| dc.rights.none.fl_str_mv |
Derechos de autor 2023 Innovación y Software https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
Derechos de autor 2023 Innovación y Software https://creativecommons.org/licenses/by/4.0 |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf text/html |
| dc.coverage.none.fl_str_mv |
2023 2023 |
| dc.publisher.none.fl_str_mv |
Universidad La Salle |
| publisher.none.fl_str_mv |
Universidad La Salle |
| dc.source.none.fl_str_mv |
Innovation and Software; Vol 4 No 1 (2023): March - August; 161-197 Innovación y Software; Vol. 4 Núm. 1 (2023): Marzo - Agosto; 161-197 2708-0935 2708-0927 https://doi.org/10.48168/innosoft.s11 https://purl.org/42411/s11 https://n2t.net/ark:/42411/s11 reponame:Revistas - Universidad La Salle instname:Universidad La Salle instacron:USALLE |
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Universidad La Salle |
| instacron_str |
USALLE |
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USALLE |
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Revistas - Universidad La Salle |
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Revistas - Universidad La Salle |
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1852236789891203072 |
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13.05525 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
