Bayesian network classification: Application to Epilepsy type prediction using PET scan data
Publication Type
Original research
Authors

Different types of Bayesian networks may be used
for supervised classification. We combine such approaches
together with feature selection and discretization and we show
that such combination gives rise to powerful classifiers. A large
choice of data sets from the UCI machine learning repository
are used in our experiments and an application to Epilepsy type
prediction based on PET scan data confirms the efficiency of
our approach.

Journal
Title
15th IEEE International Conference on Machine Learning and Applications (ICMLA)
Publisher
IEEE
Publisher Country
United States of America
Publication Type
Both (Printed and Online)
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Year
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