Research of Novel Web Page Classifiers and Feature Selection Methods
S. Markkandeyan1, P. Kalyanasundaram2, U. Muthaiah3
1S. Markkandeyan, Professor, Department of Computer Science and Engineering, Sri Shanmugha College of Engineering and Technology, Pullipalayam, Sankari (Tamil Nadu), India.
2P. Kalyanasundaram, Professor, Department of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha University, Thandalam, Chennai (Tamil Nadu), India.
3U. Muthaiah, Assistant Professor, Department of Computer Science and Engineering, Sri Shanmugha College of Engineering and Technology, Pullipalayam, Sankari (Tamil Nadu), India.
Manuscript received on 08 September 2019 | Revised Manuscript received on 17 September 2019 | Manuscript Published on 11 October 2019 | PP: 51-55 | Volume-8 Issue-11S September 2019 | Retrieval Number: K101109811S19/2019©BEIESP | DOI: 10.35940/ijitee.K1011.09811S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The World revolves around the web technology at present. Every year, the Web information are exponentially growing and this information are huge and complex. The web users are difficult to classify and extract useful information from the web, because the Web information are noisy, redundant and irrelevant and also misclassified. Many researchers don’t have strong knowledge 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.
Keywords: Web Page Classification, Machine Learning, Feature Selection.
Scope of the Article: Web Technologies