Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/15581

TítuloQMBE: a data mining language for business intelligence
Autor(es)Azevedo, Ana
Santos, Manuel Filipe
Palavras-chaveQuery-by-Example
Business users
Relational calculus
Data mining models
Inductive databases
Business intelligence
Data mining language
Data2011
EditoraIdea Group Publishing
RevistaInternational Journal of Data Mining and Emerging Technologies
Resumo(s)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.
TipoArtigo
URIhttps://hdl.handle.net/1822/15581
ISSN2249-3212
2249-3220
Versão da editorahttp://indianjournals.com/ijor.aspx?target=ijor:ijdmet&type=home
Arbitragem científicayes
AcessoAcesso restrito UMinho
Aparece nas coleções:DSI - Engenharia da Programação e dos Sistemas Informáticos

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QMBE-ADMLanguageForBusinessIntelligence _2_.pdf
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