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Extending QMBE Language with Clustering
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Author(s): Ana Azevedo (Polythecnic Institute of Porto/ISCAP, Portugal & Algoritmi R&D Center, University of Minho, Guimarães, Portugal)and Manuel Filipe Santos (Algoritmi Center, Department of Information Systems, University of Minho, Guimarães, Portugal)
Copyright: 2013
Volume: 5
Issue: 4
Pages: 19
Source title:
International Journal of Decision Support System Technology (IJDSST)
DOI: 10.4018/ijdsst.2013100104
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Abstract
Business Intelligence (BI) is an important area of the Decision Support Systems (DSS) discipline. Over the past years, the evolution in this area has been considerable. Similarly, in the last 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 a truly DM integration with BI is lacking. This creates a gap between DM and BI systems. With the purpose of closing this gap a new DM language for BI, named as Query-Models-By-Example (QMBE), was envisaged and implemented with success, but addressing only classification rules. This paper presents an extension of QMBE language to include clustering. This represents one more step towards the integration of DM with BI, which constitutes an important issue.
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