TY  - JOUR
T1  - Comparative Analysis of Classification Algorithms for Predicting the Advertisements on Webpages
AU - Priya, S. Shanmuga AU - Padmavathi, S. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 4
SP  - 738
EP  - 742
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.738.742
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.738.742
KW  - Classifier
KW  -image
KW  -advertisement
KW  -feature
KW  -rule
KW  -probability
KW  -tree
KW  -C4.5
KW  -Bayes
KW  -LAD
KW  -decision table
AB  - The fast growth of the Internet has completely changed the way people using computers. In the current scenario, people are more exposed to media and internet has led to the creation of advertisement which can reach users and it has become the ultimate for most business to enhance their profit. More and more ads are being sold on a single-impression basis as opposed to bulk purchases. Identifying whether an image belongs to advertisement or not is of interest to many internet users. This study analyses the performance of probabilistic, tree based and rule based classifier for this classification. Their performances under various conditions are summarized.
ER  -