Abstract
The aim of this paper is to summarize our experiments for discovering process of creation of traffic jams. These experiments were conducted during work on our master theses. We obtained data sets from the vehicular traffic simulator which were used to create a proper ontology based on the domain knowledge. The ontology was used as a schema for hierarchical classifier, which used Bayesian network created by genetic algorithm and rough sets based methods.
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Adamczyk, M., Betliński, P., Gora, P. (2010). Combined Bayesian Networks and Rough-Granular Approaches for Discovery of Process Models Based on Vehicular Traffic Simulation. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods. IPMU 2010. Communications in Computer and Information Science, vol 80. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14055-6_29
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DOI: https://doi.org/10.1007/978-3-642-14055-6_29
Publisher Name: Springer, Berlin, Heidelberg
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