Understanding SOA with Web Services (Independent Technology Guides)
Understanding SOA with Web Services (Independent Technology Guides)
Service-Oriented Architecture: Concepts, Technology, and Design
Service-Oriented Architecture: Concepts, Technology, and Design
Communications of the ACM - Web science
Data mining using high performance data clouds: experimental studies using sector and sphere
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Smart (enough) systems: how to deliver competitive advantage by automating the decisions hidden in your business
HPCC '08 Proceedings of the 2008 10th IEEE International Conference on High Performance Computing and Communications
ESCIENCE '08 Proceedings of the 2008 Fourth IEEE International Conference on eScience
The Big Switch: Rewiring the World, from Edison to Google
The Big Switch: Rewiring the World, from Edison to Google
Handbook of Statistical Analysis and Data Mining Applications
Handbook of Statistical Analysis and Data Mining Applications
Massively parallel in-database predictions using PMML
Proceedings of the 2011 workshop on Predictive markup language modeling
Comprehensive PMML preprocessing in KNIME
Proceedings of the 2011 workshop on Predictive markup language modeling
The PMML path towards true interoperability in data mining
Proceedings of the 2011 workshop on Predictive markup language modeling
Future Generation Computer Systems
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Over the past decade, we have seen tremendous interest in the application of data mining and statistical algorithms, first in research and science and, more recently, across various industries. This has translated into the development of a myriad of solutions by the data mining community that today impact scientific and business applications alike. However, even in this scenario, interoperability and open standards still lack broader adoption among data miners and modelers. In this article we highlight the use of the Predictive Model Markup Language (PMML) standard, which allows for models to be easily exchanged between analytic applications. With a focus on interoperability and PMML, we also discuss here emerging trends in cloud computing and Software as a Service, which have already started to play a critical role in promoting a more effective implementation and widespread application of predictive models. As an illustration of how the benefits of open standards and cloud computing can be combined, we describe a predictive analytics scoring engine platform that leverages these elements to deliver an efficient deployment process for statistical models.