Design and Implementation of Predictive Model Markup Language Interpretation Engine

The Predictive Model Markup Language(PMML) is an XML-based language which provides a way for applications to define statistical and data mining models and to share models between PMML compliant applications, for the reasons that proprietary issues and incompatibilities are no longer a barrier to the exchange of models between applications. However, Recent researches on PMML interpretation engine is still relatively vacancies. In this paper, we designed the engine from the perspective of software reuse, modeled on the PMML language itself and data processing process, in addition, designed the engine related components and the algorithm of data processing instance. Finally, the validity of these design have been proved by comparing with open-source tools which supports the PMML.