@article{article_356525, title={Link Analysis and Detection in a Web Site With Decision Trees}, journal={Acta Infologica}, volume={1}, pages={84–91}, year={2017}, author={Aksu, Muhammed and Karaman, Ersin}, keywords={Data Mining,Google Analytic,WEKA,Classification,C4.5}, abstract={<p> <span lang="en-us" style="font-size:8pt;line-height:115%;font-family:Arial;" xml:lang="en-us">Web sites are web-based applications
that intend to inform their visitors through contents such as texts, visuals
and videos. The home page of a web site must be a summary of the web site. Home
page must host the links for frequently or long-term visited sub-pages with
lower possibility to exit immediately. Big web sites have hundreds or thousands
of sub-pages. If the links of all these sub-pages are given in the home page,
the page can become messed. In this research, a decision tree was formed
through data mining method using Google Analytic data in order to identify the
links necessary to be given in the home page of a web site. The decision tree
can be used for the identification of the links of the sub-pages necessary to
be given in the home page of a current or future web site. This can support the
functionality of the home page and help the visitors easily find the sub-pages
they would like to enter into. </span>     <br /> </p>}, number={2}, publisher={Istanbul University}