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
- Indexing
- Scopus
- Impact Factor
- None
- Publication Type
- Both (Printed and Online)
- Volume
- --
- Year
- --
- Pages
- --