Extracting Understanding From Big Data to Support Supply Chain innovation
Chen, Fan (2013) Extracting Understanding From Big Data to Support Supply Chain innovation. [Dissertation (University of Nottingham only)] (Unpublished)
This dissertation is concerned with build an analytic infrastructure to support Big Data analytic. It describes the development and testing of an analytic infrastructure. This method is a combination of connectance concept, deduction graph and data mining technique. This model supports vividly alternative developing processes by the deduction graph, so the decision-makers have the clear view about the expansion of the competences sets. The analytic infrastructure provides more knowledge, skills and technologies to enhance the capability through data mining technique.
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