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Research of Novel Web Page Classifiers and Feature Selection Methods

Publication Type : Journal Article

Publisher : Research of Novel Web Page Classifiers and Feature Selection Methods

Source : International Journal of Innovative Technology and Exploring Engineering (IJITEE)- Blue Eyes Intelligence Engineering & Sciences Publication, (Scopus)., Volume-8, Issue-11S

Url : https://www.ijitee.org/wp-content/uploads/papers/v8i11S/K101109811S19.pdf

Campus : Chennai

School : School of Engineering

Department : Computer Science

Year : 2019

Abstract : The World revolves around the web technology at present. Every year, the Web information are exponentially and this information are huge and complex. The web users are difficult to classify and extract useful information from the web, because the Webinformation are noisy, redundant and irrelevant and also misclassified.Many researchers don’t have strongknowledge about the process of web page classification, techniques and methods previously used. The objective of this survey is to convey an outline of the modern techniques of Web page classification. In this survey, the recent papers in this area are selected and explored.Thus this study will help the researchers to obtain the required knowledge about the current trends in web page classification.

Cite this Research Publication : S. Markkandeyan, P.Kalyanasundaram, U.Muthaiah, “Research of Novel Web Page Classifiers and Feature Selection Methods” International Journal of Innovative Technology and Exploring Engineering (IJITEE)- Blue Eyes Intelligence Engineering & Sciences Publication, (Scopus), ISSN: 2278-3075, Volume-8, Issue-11S, September 2019

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