QMBE: A Data Mining Language for Business Intelligence Azevedo Ana1,*, Santos Manuel Filipe2 1ISCAP/IPP, Rua Jaime Lopes de Amorim, 4465-004, São Mamede de Infesta, Portugal 2Department of Information Systems, University of Minho, Campus de Azurém, 4800-058, Guimarães, Portugal *E-mail: aazevedo@iscap.ipp.pt
Abstract 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. Top Keywords Query-by-Example, Business users, Relational calculus, Data mining models, Inductive. Top |