Royal Statistical Society
Statistical Computing Section Meeting
Wednesday 16 February, 2.00 - 5.00pm (tea at 3.30pm)at
The Royal Statistical Society, 12 Errol St, London EC1
(nearest UG stations, Barbican, Moorgate & Old Street)
Knowledge Discovery with Bayesian Networks
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Speakers
MARCO RAMONI (The Open University and Bayesware)
PAOLA SEBASTIANI (Imperial College)
SYNOPSIS: The automated extraction of structured knowledge
from databases is a challenging task with spectacular
applications and vast potential reward. This talk will
describe the use of Bayesian networks to discover knowledge
in databases. Bayesian networks are a knowledge
representation formalism grounded in the well established
mathematics of Bayesian statistics and graph theory. We
will first describe the induction of Bayesian networks from
databases using automated Bayesian modelling techniques.
Then we will demonstrate Bayesware Discoverer, a program
for the automated induction of Bayesian networks from data.
Finally, we will illustrate the use of Bayesian networks as
a knowledge discovery tool in a customer profiling
application for a non-profit American organization.
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Suzanne Evans
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