Publicação

QMBE: a data mining language for business intelligence

Ver documento

Detalhes bibliográficos
Resumo:Business Intelligence (BI) is one emergent area of the Decision Support Systems (DSS) discipline. BI is oriented to business activities. Over the past years, the evolution in this area has been considerable. Similarly, in the past years, there has been a huge growth and consolidation of the Data Mining (DM) field. DM is being used with success in BI systems, but DM models are not directly accessible to business users, thus its power is not completely explored. This paper introduces a new DM language, named as QMBE that is iterative and interactive in nature and is also oriented to business activities. This paper suggests that the effective usage of DM in BI can be achieved by making DM models accessible to business users, through the use of the presented DM language.
Autores principais:Azevedo, Ana
Outros Autores:Santos, Manuel Filipe
Assunto:Query-by-Example Business users Relational calculus Data mining models Inductive databases Business intelligence Data mining language
Ano:2011
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso restrito
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho

Registos relacionados

Registos relacionados