Abstract
Bayesian networks (BNs) provide a useful modelling tool with a wide applicability on a variety of research and business areas. However, their construction is very time-consuming when carried out manually. In this chapter, we discuss an automated method to identify, assess and aggregate relevant information from large unstructured datasets to build fragments of BNs.
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Trovati, M. (2015). Extraction of Bayesian Networks from Large Unstructured Datasets. In: Trovati, M., Hill, R., Anjum, A., Zhu, S., Liu, L. (eds) Big-Data Analytics and Cloud Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-25313-8_7
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DOI: https://doi.org/10.1007/978-3-319-25313-8_7
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