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In this work, we propose a multi-relational concept discovery method for business intelligence applications. Multi-relational data mining finds interesting patterns that span over multiple tables. The obtained patterns reveal useful information for decision making in business environments. However, as the patterns include multiple relations, the search space gets intractably complex. In order to cope...
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