Association Rules Extraction for Customer Segmentation in the SMEs Sector Using the Apriori Algorithm
Data Mining applied to the field of commercialization allows, among other aspects, to discover patterns of behavior in clients, which companies can use to create marketing strategies addressed to their different types of clients. This research focused on a database, the CRISP-DM methodology was appl...
- Autores:
-
Silva, Jesus
Varela Izquierdo, Noel
Borrero López, Luz Adriana
Rojas Millán, Rafael Humberto
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2019
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/4835
- Acceso en línea:
- https://hdl.handle.net/11323/4835
https://repositorio.cuc.edu.co/
- Palabra clave:
- CRISP-DM methodology
Apriori algorithm
Association rules extraction
Data mining
SMEs
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/