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2013 | OriginalPaper | Chapter

Synthetic Decision Support of Broadcasting and Television System

Authors : Fulian Yin, Jianping Chai, Jiecong Lin

Published in: Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013

Publisher: Springer Berlin Heidelberg

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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.

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Metadata
Title
Synthetic Decision Support of Broadcasting and Television System
Authors
Fulian Yin
Jianping Chai
Jiecong Lin
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
Book
Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013

Print ISBN: 978-3-642-37501-9

Electronic ISBN: 978-3-642-37502-6

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-3-642-37502-6_90

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