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Design and Development of a Domain Specific Focused Crawler Using Support Vector Learning Strategy

M. Selvakumar, Dr. A.Vijaya

The usage of internet is immense on a large scale for the past many years. Especially more than 90% of people are using search engine. People are using search engine largely for their keywords. Search engine results gives irrelevant data too. We should divide it an focused crawler. The relevant web pages, we have to enter our keywords Focused crawler using SVM. The SVM classifies data by finding the best hyperplane that separates all data points of one class from those of the other class. The best hyperplane for an SVM means the one with the largest margin between the two classes. Margin means the maximal width of the slab parallel to the hyperplane that has no interior data points. Moreover, we get SVM minute is used more and more, on the other hand, we get relevant web pages. The difficulty of bounding the offset is overcome. Naïve bayes and SVM are used to demonstrate the main results.