Easing Operative User Steering through Website Construction Development
Journal Title: International Journal of Science Engineering and Advance Technology - Year 2014, Vol 2, Issue 11
Abstract
Data Mining is a step of Knowledge Discovery in Databases. Clustering can be considered the most important unsupervised learning method so, as every other problem of this kind, it deals with finding a arrangement in a crew of unlabeled data and mining major issue is removing unrelavent data. But here we did not find these type data its fail on removing irrelevant and remove back tracking. For this type of problems Designing well-structured websites to provide operative user steering has long been a challenge. A key reason is that the web speculators understanding of how a website should be structured can be considerably different from that of the users. While different methods have been proposed to relink webpages to increase navigability using user steering data, the completely modernized new structure can be highly impulsive, and the cost of disorienting users after the changes remains unanalyzed. In this we addresses how to improve a website without presenting significant changes. Specifically, we propose a mathematical programming model to improve the user navigation on a website while minimizing alterations to its current structure.
Authors and Affiliations
R. Konda Reddy| Assoc. Professor, Department of CSE, PBR Visvodaya Institute of Technology & Science, Kavali, Konduru Balakrishna| student of M.Tech (C.S) Department of CSE, PBR Visvodaya Institute of Technology & Science, Kavali
Keywords
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