Mobile SMS Spam Recognition Using Machine Learning Techniques with the help of Biasian and Spam Filters
Ashok Koujalagi1
Section:Research Paper, Product Type: Journal Paper
Volume-7 ,
Issue-4 , Page no. 540-542, Apr-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7i4.540542
Online published on Apr 30, 2019
Copyright © Ashok Koujalagi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Ashok Koujalagi, “Mobile SMS Spam Recognition Using Machine Learning Techniques with the help of Biasian and Spam Filters,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.540-542, 2019.
MLA Style Citation: Ashok Koujalagi "Mobile SMS Spam Recognition Using Machine Learning Techniques with the help of Biasian and Spam Filters." International Journal of Computer Sciences and Engineering 7.4 (2019): 540-542.
APA Style Citation: Ashok Koujalagi, (2019). Mobile SMS Spam Recognition Using Machine Learning Techniques with the help of Biasian and Spam Filters. International Journal of Computer Sciences and Engineering, 7(4), 540-542.
BibTex Style Citation:
@article{Koujalagi_2019,
author = {Ashok Koujalagi},
title = {Mobile SMS Spam Recognition Using Machine Learning Techniques with the help of Biasian and Spam Filters},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {7},
Issue = {4},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {540-542},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4073},
doi = {https://doi.org/10.26438/ijcse/v7i4.540542}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i4.540542}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4073
TI - Mobile SMS Spam Recognition Using Machine Learning Techniques with the help of Biasian and Spam Filters
T2 - International Journal of Computer Sciences and Engineering
AU - Ashok Koujalagi
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 540-542
IS - 4
VL - 7
SN - 2347-2693
ER -
VIEWS | XML | |
333 | 291 downloads | 164 downloads |
Abstract
Summary Spam SMS is unwanted messages to users who are worried and harmful from time to time. Currently, group survey papers are available on SMS detection techniques. Study and review their used techniques, approaches and algorithms, their advantages and disadvantages, evaluation measures, discussion of data sets, as well as the end result of the studies. Although the SMS spam detection techniques are additionally demanding as sms spam detection techniques, as the local content, the use of abbreviated words, unfortunately does not meet any of the existing research on these challenges. There is an enormous amount of emerging research in this region and this survey can serve as a point of reference for the upcoming direction of research.
Key-Words / Index Term
Mobile SMS spam detection
References
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