UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1812A76


Registration ID:
194184

Page Number

548-550

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Title

Mobile SMS Spam Detection using Machine Learning Techniques

Abstract

Abstract— Spam SMS be unwanted messages to users, which be worrying and from time to time damaging. present be a group of survey papers available on SMS spam detection techniques. study and reviewed their used techniques, approaches and algorithms, their advantages and disadvantages, evaluation measures, discussion on datasets as well as lastly end result judgment of the studies. even though, the SMS spam detection techniques are additional demanding than SMS spam detection techniques since of the local contents, use of shortened words, unluckily not any of the existing research addresses these challenges. There is a enormous scope of upcoming research in this region and this survey can act as a reference point for the upcoming direction of research.

Key Words

Mobile SMS spam Detection

Cite This Article

"Mobile SMS Spam Detection using Machine Learning Techniques ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.548-550, December-2018, Available :http://www.jetir.org/papers/JETIR1812A76.pdf

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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

"Mobile SMS Spam Detection using Machine Learning Techniques ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp548-550, December-2018, Available at : http://www.jetir.org/papers/JETIR1812A76.pdf

Publication Details

Published Paper ID: JETIR1812A76
Registration ID: 194184
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 548-550
Country: Buldana , Maharashtra , India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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