Abstract
The extended relational data model was extended with the two operators of extended product join and extended Marginalization defined. A method to make credal network exact inference was proposed by computing the joint probability distribution and posterior probability of variables through the above operators. Furthermore its arithmetic was developed by SQL statement. Its validity and efficiency could be showed in the application case. The relational data structure of credal network was constructed, thus the query optimization mechanism of relational database could be fully used and the efficiency of credal network inference could be improved greatly.
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Qu, Y., Wu, J. (2011). An Exact Inference Method for Credal Network Based on Extended Relational Data Model. In: Yu, Y., Yu, Z., Zhao, J. (eds) Computer Science for Environmental Engineering and EcoInformatics. CSEEE 2011. Communications in Computer and Information Science, vol 159. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22691-5_14
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DOI: https://doi.org/10.1007/978-3-642-22691-5_14
Publisher Name: Springer, Berlin, Heidelberg
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