Preservation of confidential information privacy and association rule hiding for data mining: a bibliometric review

In this era of technology, data of business organizations are growing with acceleration. Mining hidden patterns from this huge database would benefit many industries improving their decision-making processes. Along with the non-sensitive information, these databases also contain some sensitive infor...

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Autores:
Silva, Jesus
Cubillos, Jenny
Vargas Villa, Jesus
Romero, Ligia
Solano, Darwin
Fernández, Claudia
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:11323/4837
Acceso en línea:
https://hdl.handle.net/11323/4837
https://repositorio.cuc.edu.co/
Palabra clave:
confidential information privacy preservation
approaches to hiding of association rules of data
bibliometric analysis
SCOPUS
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 International