An architecture for an effective usage of data mining in business intelligence systems
Business Intelligence (BI) is one emergent area of the Decision Support Systems (DSS) discipline. Over the last 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 s...
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| Format: | conferenceObject |
| Language: | eng |
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2012
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| Online Access: | http://hdl.handle.net/10400.22/617 |
| Country: | Portugal |
| Oai: | oai:recipp.ipp.pt:10400.22/617 |
| Summary: | Business Intelligence (BI) is one emergent area of the Decision Support Systems (DSS) discipline. Over the last 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. Therefore, a lack of an effective usage of DM in BI can be found in some BI systems. An architecture that pretends to conduct to an effective usage of DM in BI is presented. |
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