SciELO - Scientific Electronic Library Online

 
vol.38 número3Framework basado en ontología para la descripción y validación de procesos de negocioEvaluación de los factores de competitividad en la provincia de Villa Clara índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Artigo

Indicadores

  • Não possue artigos citadosCitado por SciELO

Links relacionados

  • Não possue artigos similaresSimilares em SciELO

Compartilhar


Ingeniería Industrial

versão On-line ISSN 1815-5936

Resumo

MORGADO-GARCIA, Tania; PONCE-DE-LEON-LIMA, Daniel Antonio  e  ROSETE-SUAREZ, Alejandro. Knowledge discovery in databases historical of a trading company. Ing. Ind. [online]. 2017, vol.38, n.3, pp. 289-297. ISSN 1815-5936.

With the development of technologies, the big volume of databases and the need to obtain useful knowledge of them, data mining becomes a strategic tool for companies, which support the decision making. A cuban company, created in 1991, whose name is not mentioned for reasons of confidentiality, which is distinguished as a provider of comprehensive solutions, offers products and engineering services in a wide range of areas with a highly trained staff. It has large volumes of data resulting from the management of each of its organizational units, but no analysis are done to identify hidden patterns and behaviors in data. This paper present a process of Knowledge Discovery in Databases in the aforementioned company as an aid to decision making. In this regard, aspects related to data mining and its application in the environment of economic-financial indicators and management were detailed, association and clustering models that will support the work of managers at different levels of the organization were obtained.

Palavras-chave : data minig; grouping; knowledge; company.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License