@article{(Open Science Index):https://publications.waset.org/pdf/10002371,
	  title     = {A Novel Approach to Improve Users Search Goal in Web Usage Mining},
	  author    = {R. Lokeshkumar and  P. Sengottuvelan},
	  country	= {},
	  institution	= {},
	  abstract     = {Web mining is to discover and extract useful
Information. Different users may have different search goals when
they search by giving queries and submitting it to a search engine.
The inference and analysis of user search goals can be very useful for
providing an experience result for a user search query. In this project,
we propose a novel approach to infer user search goals by analyzing
search web logs. First, we propose a novel approach to infer user
search goals by analyzing search engine query logs, the feedback
sessions are constructed from user click-through logs and it
efficiently reflect the information needed for users. Second we
propose a preprocessing technique to clean the unnecessary data’s
from web log file (feedback session). Third we propose a technique
to generate pseudo-documents to representation of feedback sessions
for clustering. Finally we implement k-medoids clustering algorithm
to discover different user search goals and to provide a more optimal
result for a search query based on feedback sessions for the user.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {9},
	  number    = {2},
	  year      = {2015},
	  pages     = {624 - 628},
	  ee        = {https://publications.waset.org/pdf/10002371},
	  url   	= {https://publications.waset.org/vol/98},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 98, 2015},