Web Page Classification Using Feature Selection Techniques

  Smt. P. G. Modh,  Mr. M. B. Chaudhari

Websites provides a lot of information to the Users. Websites is a collection of Web Pages which contains a bunch of information. In these information to find or retrieve particular page or information is difficult task. So to make this task easy there are different web page classification methods. Using this method we can identify web pages. Based on web page information we have to classify the web page. Web page classification is area of web mining. Web mining is the integration of information gathered by traditional data mining methodologies and techniques with information gathered over the WWW. Web page Classification retrieves WebPages based on different features/parameters of web pages. Web Page Classification can be done in many ways such as using the content of the web page, using the structure of web page, using clustering methods etc. This paper is focuses on the Web Page Classification using the inverse document frequency.

Keywords- Web Page classification, Classifiers, Features, Naïve Bayes, SVM

Unique Identification Number - IJEDR1501081
Page Number(s) - 443-448
Pubished in - Volume 3 | Issue 1 | Jan 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Smt. P. G. Modh,  Mr. M. B. Chaudhari,   "Web Page Classification Using Feature Selection Techniques", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 1, pp.443-448, Jan 2015, Available at :http://www.ijedr.org/papers/IJEDR1501081.pdf