UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 4
April-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIRER06005


Registration ID:
308628

Page Number

21-23

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Title

CLASSIFICATION OF ORIGINAL AND FAKE WEBSITE USING URL

Abstract

Websites have the ability to track what peoples are searching and it will also show related searches. The main thing in using website is peoples are unaware of realizing the difference between original and fake websites. Naïve Bayes Classifier Algorithm is a Machine Learning Algorithm that have used to classify the difference between the original and fake websites using selective attributes. Naives Bayes Algorithm is a supervised learning in Machine Learning where all algorithm have one basic common principle.

Key Words

Naïve Bayes Classifier, Classification, Machine Learning.

Cite This Article

"CLASSIFICATION OF ORIGINAL AND FAKE WEBSITE USING URL ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.21-23, April-2021, Available :http://www.jetir.org/papers/JETIRER06005.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"CLASSIFICATION OF ORIGINAL AND FAKE WEBSITE USING URL ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp21-23, April-2021, Available at : http://www.jetir.org/papers/JETIRER06005.pdf

Publication Details

Published Paper ID: JETIRER06005
Registration ID: 308628
Published In: Volume 8 | Issue 4 | Year April-2021
DOI (Digital Object Identifier):
Page No: 21-23
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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