Downloads: 117 | Views: 139
Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 1, January 2015
A Survey on k-Means: An Approach for Improved Web Site Structure
Pramod B. Dhamdhere | Saba Siraj 
Abstract: Development of websites to facilitate effective user navigation is the challenging task observed these days. Because the way web developers think and design the system is quite different from that of the user. Different methods have been projected to re-link WebPages in order to recover navigability using user direction-finding data. The fully reorganized emerging structure can be highly impulsive, and the cost of disorienting users after the changes remains unanalyzed. The proposed system presents architecture to cluster the usage statistics of all the users to re-link WebPages. The re-ordering or reforming will mostly be based on clusters generated. Hence an optimal selection of clusters is significant step in implementation of the system. Hence system uses an enhanced K means clustering algorithm where in the number of clusters (optimal) can be routinely designed and clusters are generated consequently. The system also develops a arithmetical programming model to recover the user navigation on a website. The system is imagined the deliver the functionality of a test bench website for data collection and then reorder it based on statistics collected to present the effectiveness of our model.
Keywords: K-means Clustering, User navigation, Relinking
Edition: Volume 4 Issue 1, January 2015,
Pages: 659 - 662
Similar Articles with Keyword 'User navigation'
Survey Paper, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014Pages: 2227 - 2229
A Survey on Enhancing User Navigation Using Web Transformation
Madhuri B. Aswale | Gandhali. S. Gurjar
Research Paper, Computer Science & Engineering, India, Volume 4 Issue 3, March 2015Pages: 2173 - 2176
Knowledge Retrieval from Web Server Logs Using Web Usage Mining
Naresh Kumar Kar | H. R. Sharma | Asha Ambhaikar