Development and Evaluation of Mathematical Models for Service-Oriented Data Mining

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This study addressed technical issues involved in the development of service-oriented data mining to create service innovations. The levels of data mining possible in such service-oriented framework are identified, and core technologies are unified in a single knowledge-rich architecture. In particular, mathematical models for the service-oriented data mining are developed, which include the extension of high dimensional model representation (HDMR) and an inductive methodology for global sensitivity analysis of meta-models.