Web Mining by Web Feature and Bio-Geographic Optimization

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Internet has required the clients to make utilization of mechanized instruments. So this work use to find wanted data assets and evaluate their use pattern of web access done by history of either user or website. Web content increases day by day so attracting users and retaining on site is getting tough. In order to increase some intelligence in the web portal researcher work on web page prediction. This paper has proposed a BOWPP model that efficiently utilize different features of the website logs and content. Based on association rule and webpage relation page prediction done by BOWPP model. Experiment was done on real website dataset with differ-ent dataset size. Result shows that proposed model has increases the precision value by % as compared to existing model.

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