A web content mining application for detecting relevant pages using Jaccard similarity

<span lang="EN-US">The tremendous growth in the availability of enormous text data from a variety sources creates slew concerns and obstacles to discovering meaningful information. This advancement technology digital realm has resulted dispersion texts over millions web sites. Unstructured are densely packed with textual The discovery valuable intriguing relationships unstructured demands more computer processing. So, mining developed into an attractive area study for obtaining organized useful data. One purposes this research is discuss pre-processing automobile marketing domains order create structured database. Regular expressions were used extract vehicle advertisements, resulting well-organized We manually develop unique rule-based ways extracting pages. As result information retrieved these systematic search certain noteworthy qualities performed. There numerous approaches query recommendation, it vital understand which one should be employed. Additionally, attempts determine optimal value similarity suggestions based on user-supplied parameters by comparing MySQL pattern matching Jaccard similarity.</span>