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Studies in Fuzziness and Soft Computing
In this paper we present some applications of Bayesian networks in Meteorology from a data mining point of view. We work with a database of observations (daily rainfall and maximum wind speed) in a network of 100 stations in the Iberian peninsula and with the corresponding gridded atmospheric patterns generated by a numerical circulation model. As a first step, we analyze the efficiency of standard learning algorithms to obtain directed acyclic graphs representing the spatial dependencies amongdoi:10.1007/978-3-540-39879-0_17 fatcat:3qmifl6otnfj7alut62pgmpimq