PROCEEDINGS IPMU '08
Modular Bayesian Network for Uncertainty Handling on Mobile Device
Keum-Sung Hwang, Sung-Bae Cho.
Mobile devices can now handle a great
deal of information thanks to the
convergence of diverse functionalities.
Mobile environments have already
shown great potential in terms of
providing customized services to users
because they can record meaningful and
private information continually for long
periods of time. Most of this
information has been generally ignored
because of the limitations of mobile
devices and the uncertainty of mobile
environments in real world. In this
paper, we propose an approach based
on modular Bayesian networks to
overcome these problems and to
analyze various kinds of log data. The
method adopts a probabilistic approach
to manage the uncertainty and
decomposes the probabilistic model
automatically to decrease complexity
and how to infer the model, which is
called cooperative reasoning. In the
experimental results, the proposed
methods were evaluated with mobile
log data collected in the real world.
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