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The Social Media Spam

Shaziya 1 , K. Hans2

Section:Review Paper, Product Type: Journal Paper
Volume-2 , Issue-6 , Page no. 9-12, Jun-2014

Online published on Jul 03, 2014

Copyright © Shaziya, K. Hans . 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: Shaziya, K. Hans, “The Social Media Spam,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.6, pp.9-12, 2014.

MLA Style Citation: Shaziya, K. Hans "The Social Media Spam." International Journal of Computer Sciences and Engineering 2.6 (2014): 9-12.

APA Style Citation: Shaziya, K. Hans, (2014). The Social Media Spam. International Journal of Computer Sciences and Engineering, 2(6), 9-12.

BibTex Style Citation:
@article{Hans_2014,
author = {Shaziya, K. Hans},
title = {The Social Media Spam},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2014},
volume = {2},
Issue = {6},
month = {6},
year = {2014},
issn = {2347-2693},
pages = {9-12},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=186},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=186
TI - The Social Media Spam
T2 - International Journal of Computer Sciences and Engineering
AU - Shaziya, K. Hans
PY - 2014
DA - 2014/07/03
PB - IJCSE, Indore, INDIA
SP - 9-12
IS - 6
VL - 2
SN - 2347-2693
ER -

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Abstract

Individuals dependably speak with one another through distinctive interpersonal interaction locales and this is the simplest approach to impart to the companion and relatives who are not around us. However we regularly see that we generally get the unwanted or unwelcome messages, messages and notices from the unwanted individuals which makes us uncomfortable and this is not acknowledged by anyone. We mark this sorts of undesirable messages "social spam "and recommended the groupings approaches to discover this spams. By perceiving and assessing of different characteristics of the social spam on the person to person communication administrations we have turned out with the potential indicates that can help us to separate the spammers with the authentic clients. We have additionally shed some light on the order of the spams and procedures which can help us to uproot the obstructions which regularly occurred while utilizing the informal communication administrations. The devices and systems likewise give wellbeing to different expert systems administration and organizations in viewpoint of classified data.

Key-Words / Index Term

Spam,Social Spam,Clustering,Detection,Techniques

References

[1]Beate Krause Christoph Schmitz Andreas Hotho Gerd Stummehttp://www.kde.cs.uni-kassel.de
[2] Benjamin Markines Ciro Cattuto2 Filippo Menczer1;Complex Networks Lagrange Laboratory,
[3]Danesh Irani, SteveWebb, and Calton danesh, webb calton}@cc.gatech.edu
[4] Nitin Jindal and Bing Liunitin.jindal@gmail.com, liub@cs.uic.edu
[5] De Wang, Danesh Irani, and Calton Pu wang6, danesh, calton} @cc.gatech.edu
[6] Congrui Huang, Qiancheng Jiang, and Yan Zhang Key Laboratory of Machine Perception, Ministry of Education
[7]School of Electronics Engineering and Computer Science, PekingUniversityBeijinghcr@pku.edu.cn,{jiangqiancheng,zhy}@cis.pku.edu.cn.
[8]Gilad MishneInformatics Institute, University of Amsterdam Kruislaan 403, 1098SJ Amsterdam The Netherlandsgilad@science.uva.nl
[9] David Carmel, Ronny Lempel IBM Research Lab in Haifa Haifa 31905, Israel {carmel,rlempel}@il.ibm.com
[10]Benjamin Markines1;2Ciro Cattuto2 Filippo Menczer1;2 1School of Informatics, Indiana University, Bloomington, Indiana, USA 2Complex Networks Lagrange Laboratory, Institute