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Use of predictive models for making business-critical decisions is on the rise. However, serious challenges remain on managing data mining models and integrating them with business services using Service-Oriented Architectures (SOA) to provide real-time Business Intelligence (BI). These challenges include model aging, management scalability, timely-communication among parties on model changes, semantic gap on interpreting models, and business process integration. The paper describes a data mining model management system that addresses these challenges to support sustainable and operationalized BI.
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