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AUSDM
2006
Springer

Discover Knowledge From Distribution Maps Using Bayesian Networks

12 years 1 months ago
Discover Knowledge From Distribution Maps Using Bayesian Networks
This paper applies a Bayesian network to model multi criteria distribution maps and to discover knowledge contained in spatial data. The procedure consists of three steps: pre processing map data, training the Bayesian Network model using distribution maps of Australia and testing the generalization and diagnosis of the model using individual states' maps. The Bayesian network that we used in this study is known as na
Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Les
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where AUSDM
Authors Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Lesslie, Michael J. Hill
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