Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/15581
Título: | QMBE: a data mining language for business intelligence |
Autor(es): | Azevedo, Ana Santos, Manuel Filipe |
Palavras-chave: | Query-by-Example Business users Relational calculus Data mining models Inductive databases Business intelligence Data mining language |
Data: | 2011 |
Editora: | Idea Group Publishing |
Revista: | International 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. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/15581 |
ISSN: | 2249-3212 2249-3220 |
Versão da editora: | http://indianjournals.com/ijor.aspx?target=ijor:ijdmet&type=home |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: | DSI - Engenharia da Programação e dos Sistemas Informáticos |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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QMBE-ADMLanguageForBusinessIntelligence _2_.pdf Acesso restrito! | 279,32 kB | Adobe PDF | Ver/Abrir |