BibTeX:

@article{IJIRSTV4I2053,
     title={Mining Web Data Using PSO Algorithm},
     author={Ammulu and Venugopal},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={4},
     number={2},
     pages={201--207},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV4I2053.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Web is the fundamental source for the generation of information or data in tremendous amount. However, each and individual site classify their own data but fetching the classified data from the multiple website is not possible. Clustering the web data is the main challenge in the web data mining where an efficient approach is needed to cluster it. In the proposed system, multiple webpage are fetched by web crawling technique then the data are extracted, classified using the PSO algorithm. The fitness value gives good classification result and provides a novel searching technique. The experimental setup is carried out in java language and the accuracy of this approach is 80%.

Crawler; PSO algorithm; mining; classification; webpage; hyperlink; website