Association rule mining for customer segmentation in the SMEs sector using the apriori algorithm

Customer´s segmentation is used as a marketing differentiation tool which allows organizations to understand their customers and build differentiated strategies. This research focuses on a database from the SMEs sector in Colombia, the CRISP-DM methodology was applied for the Data Mining process. Th...

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Autores:

silva d, jesus g
Gaitan-Angulo, Mercedes
Cabrera, Danelys
Kamatkar, Sadhana J.
Martínez Caraballo, Hugo
Martínez Ventura, Jairo Luis
Virviescas Peña, John Anderson
De la Hoz Hernández, Juan David

Tipo de recurso:

http://purl.org/coar/resource_type/c_816b

Fecha de publicación:

2019

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/5413

Acceso en línea:

https://hdl.handle.net/11323/5413
https://repositorio.cuc.edu.co/

Palabra clave:

Data mining
Apriori algorithm
Dates product
Association rules
Hidden patterns extraction
Consumer's loyalty

Rights

openAccess

License

http://creativecommons.org/publicdomain/zero/1.0/