Apriori Method of Mining Secure Data in Social Media

As can be seen all around us, social media sites such as Facebook, Twitter, YouTube and Flickr and other became more importance grow rapidly in the last few years. This growth in social media sites has led to increase of information generated and circulated between individuals, this information sign...

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Main Author: Zahraa Raji Mohi
Format: Article
Language:English
Published: University of Anbar 2019-08-01
Series:مجلة جامعة الانبار للعلوم الصرفة
Subjects:
Online Access:https://juaps.uoanbar.edu.iq/article_171873_727ec0a4c2d587caa903049ae041e15f.pdf
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author Zahraa Raji Mohi
author_facet Zahraa Raji Mohi
author_sort Zahraa Raji Mohi
collection DOAJ
description As can be seen all around us, social media sites such as Facebook, Twitter, YouTube and Flickr and other became more importance grow rapidly in the last few years. This growth in social media sites has led to increase of information generated and circulated between individuals, this information significance in the companies and institutions works and also for individuals, for this it is important to analyze and classify data by determining keywords and main sentences which lead companies to manage their works more better with present and possibly clients. However, social media data may be contain various types of unwanted and maleficent spammer or hacker actions. So, there is a critical need in the social media network and society, industry for social media security. In this paper, we choose Apriori method for mining and classifying social media data and take a Facebook to be a case study for social media data then after classifying and mining data applying RSA algorithm which is most popular and easer to implement secure data and use it usefully in the company’s work.
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spelling doaj.art-b9f9d68999bf4a7eb69229aa78e602de2023-12-28T22:00:01ZengUniversity of Anbarمجلة جامعة الانبار للعلوم الصرفة1991-89412706-67032019-08-01131414910.37652/juaps.2022.171873171873Apriori Method of Mining Secure Data in Social MediaZahraa Raji Mohi0Al-Imam Al-adham University College, Department of Advocacy and rhetoricAs can be seen all around us, social media sites such as Facebook, Twitter, YouTube and Flickr and other became more importance grow rapidly in the last few years. This growth in social media sites has led to increase of information generated and circulated between individuals, this information significance in the companies and institutions works and also for individuals, for this it is important to analyze and classify data by determining keywords and main sentences which lead companies to manage their works more better with present and possibly clients. However, social media data may be contain various types of unwanted and maleficent spammer or hacker actions. So, there is a critical need in the social media network and society, industry for social media security. In this paper, we choose Apriori method for mining and classifying social media data and take a Facebook to be a case study for social media data then after classifying and mining data applying RSA algorithm which is most popular and easer to implement secure data and use it usefully in the company’s work.https://juaps.uoanbar.edu.iq/article_171873_727ec0a4c2d587caa903049ae041e15f.pdfsocial media datafacebookdata securityapriori algorithmrsa algorithm
spellingShingle Zahraa Raji Mohi
Apriori Method of Mining Secure Data in Social Media
مجلة جامعة الانبار للعلوم الصرفة
social media data
facebook
data security
apriori algorithm
rsa algorithm
title Apriori Method of Mining Secure Data in Social Media
title_full Apriori Method of Mining Secure Data in Social Media
title_fullStr Apriori Method of Mining Secure Data in Social Media
title_full_unstemmed Apriori Method of Mining Secure Data in Social Media
title_short Apriori Method of Mining Secure Data in Social Media
title_sort apriori method of mining secure data in social media
topic social media data
facebook
data security
apriori algorithm
rsa algorithm
url https://juaps.uoanbar.edu.iq/article_171873_727ec0a4c2d587caa903049ae041e15f.pdf
work_keys_str_mv AT zahraarajimohi apriorimethodofminingsecuredatainsocialmedia