Synthetic decision support of broadcasting and television system

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Abstract

To improve the traditional decision support system (DSS) with data driven or model driven only, a synthetic DSS for broadcasting and television system is proposed in this paper. It is consisted by three main bodies which are the combination of data base, model base and method base, the combination of data warehouse and on-line analysis processing (OLAP), and the combination of knowledge base and data mining. The use case of this synthetic DSS is also analyzed in this paper. And the result of typical model proves its validity. © Springer-Verlag Berlin Heidelberg 2013.

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Yin, F., Chai, J., & Lin, J. (2013). Synthetic decision support of broadcasting and television system. Advances in Intelligent Systems and Computing, 212, 759–766. https://doi.org/10.1007/978-3-642-37502-6_90

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