We provide a wide range of consulting services in the use
of Bayesian network technology:
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Knowledge Engineering. We can help clients build
Bayesian network models of their problem domains. We can work with
domain experts to help articulate their understanding of a problem or
system showing aspects of uncertainty. We have software tools
available for simplifying and validating the elicitation of causal
relationships, probabilistic dependencies and probabilities.
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Data Mining. Causal discovery algorithms can automatically
find the best Bayesian networks for explaining sample data (e.g.,
data bases of information) when the variables sampled are related
to each other directly or indirectly. These algorithms can be
tuned using the results of knowledge engineering with experts to
find useful solutions more rapidly. We also have experience with
many other data mining methods, including predictive Bayesian networks,
classification trees and graphs, and time series analysis.
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Training. We offer training in all of the Bayesian network
techniques we use, ranging from introductory overviews, to in-depth
theoretical treatments or to hands-on application training. We also
offer training in the use of
Netica.
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Programming. We can tailor tools to particular software
environments or program stand-alone solutions.
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Solutions. We can package any of these services together
in whatever combination you need. Ongoing maintenance, including
support and enhancement, is negotiable.
