Modelo de minería de datos para la optimización de matrices de mantenimiento en revisiones de vehículos de la marca Chevrolet
The purpose of this research is to implement a data mining model for the optimization of maintenance arrays in vehicle reviews of the Chevrolet brand. The type of research was applied, retrospective, cross-sectional, descriptive, documentary, aiming at the solution of a problem or need, where part o...
- Autores:
-
Torres De La Espriella, Daniel Antonio
- Tipo de recurso:
- Fecha de publicación:
- 2021
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/8372
- Acceso en línea:
- https://hdl.handle.net/11323/8372
https://repositorio.cuc.edu.co/
- Palabra clave:
- Data mining
Quality of service
Vehicle maintenance
Minería de datos
Calidad de servicio
Mantenimiento de vehículos
- Rights
- openAccess
- License
- Attribution-NonCommercial-ShareAlike 4.0 International
| Summary: | The purpose of this research is to implement a data mining model for the optimization of maintenance arrays in vehicle reviews of the Chevrolet brand. The type of research was applied, retrospective, cross-sectional, descriptive, documentary, aiming at the solution of a problem or need, where part of the information was obtained before starting the study and during the development of the investigation, complying with the procedures established in the investigation phases and the methodology related to CRISP-DM data mining , conformed by six (6) phases: Business understanding, Data understanding, Data Preparation, Modeling, Evaluation and Deployment, which allowed to fulfill the objectives of the research, improving the quality of service evaluations, quantity of vehicles in maintenance and the reduction of maintenance times. |
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