Data Mining Model Management to Support Real-time Business Intelligence in Service-Oriented Architectures
BibTeX
@MISC{Ari_datamining,
author = {Ismail Ari and Jun Li and Alex Kozlov and Mohamed Dekhil},
title = {Data Mining Model Management to Support Real-time Business Intelligence in Service-Oriented Architectures},
year = {}
}
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Abstract
Abstract. 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. We describe a data mining model management system that addresses these challenges to support sustainable and operationalized BI.
Citations
| 3 | Using data mining on the road to successful - Meltzer - 2004 |
| 3 | ReCEPtor: Sensing Complex Events in Data Streams for Service-Oriented Architectures - Wei, Ari, et al. - 2007 |
| 2 | Tuzhilin A., Managing large collections of data mining models - Liu - 2008 |
| 2 | Data mining in customer value and customer relationship management - Sumathi, Sivanandam - 2006 |
