Abstract:
Nowadays, the field of advertising is more
spread. Broadcasting media receives advertisements
from advertisement companies. When programme
are shown, these advertisements used to be
broadcasted. Most of the advertisement companies
install to broadcast its advertisements when
advertisement time. As Myanmar rule, it must be
broadcasted one third of the programme. So, media
cannot receive all advertisements. By using this
system, it is easy to know which advertisement
companies should be imperative if new programme
broadcast. In this system, Bagging and Naive
Bayesian Classification methods are used. Bagging
method is one of the well-known ensemble techniques
that build bags of data of the same size of the
original data sets by applying random sampling with
replacement. Naive Bayesian Classification method
is widely used for probabilities estimations. Using
the mixture of these algorithms, we get the
probabilities from multiple models .Then, averaging
probability values are calculated with bagging
method. Finally, the system extracts the company
names with highest probabilities. Companies can be
classified into "classes". Another way, users can view
products information and reports at different sites.
No need to look large amount of historical data.
