TY  - JOUR
T1  - An Improved Web Emotion Analysis using Hybrid PAM Neural Network Approach
AU - Alphy, Meera AU - Sharma, Ajay 
JO  - International Journal of Soft Computing
VL  - 12
IS  - 5
SP  - 303
EP  - 307
PY  - 2017
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2017.303.307
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2017.303.307
KW  - CPU
KW  -access patterns
KW  -clustering
KW  -techniques
KW  -integrating
KW  -efficiently
KW  -accuracy
AB  - Web usage mining method for learning episodic web access patterns from web usage logs which
integrates knowledge on customer’s interest and behaviours. A novel method to efficiently provide
better web-page recommendation through semantic-enhancement by integrating the domain and web usage
knowledge of a website is introduced in this study. Here, we propose, a hybrid approach by first enriching the
contextual information by k-medoids algorithm and training each cluster using simple Neural Network approach.
This method improves the cluster quality in term of accuracy and CPU time when compared to traditional
clustering techniques like k-means clustering and deterministic genetic clustering techniques.
ER  -