scholarly journals Spam Detection in Social Media Networks: A Data Mining Approach

2015 ◽  
Vol 115 (9) ◽  
pp. 9-12
Author(s):  
Harshal S.Multani ◽  
Amrita Sinh Marod ◽  
Vinita Pillai ◽  
Vishal Gaware
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Spam Detection ◽  
Social Media Networks ◽  
Data Mining Approach

scholarly journals A STUDY OF SPAM DETECTION ALGORITHM ON SOCIAL MEDIA NETWORKS

2014 ◽  
Vol 10 (10) ◽  
pp. 2135-2140 ◽  
Author(s):  
Saini Jacob Soman ◽  
S. Murugappan
Keyword(s):  
Social Media ◽  
Detection Algorithm ◽  
Spam Detection ◽  
Social Media Networks

Purchaser's Optimistic Response to Social Media Advertisements—A Data Mining Approach

2019 ◽  
Vol 16 (2) ◽  
pp. 664-668
Author(s):  
S. Magesh ◽  
S. Vijayalakshmi
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Clustering Techniques ◽  
Data Mining Approach ◽  
Online Social Media ◽  
Online Advertisements ◽  
Online Advertisement ◽  
Selection Of ◽  
Significant Factors

The paper aspires at discovering the most indispensable factors persuading customer reactions and purchasing commodities after observing online advertisements of social media and recognizing the distinctiveness of clusters of Purchaser having the optimistic reaction, over and above of buying customer clusters after analyzing online advertisement in social media. The selection of attribute and clustering techniques are incorporated in the analysis of data to find significant factors and target customer clusters correspondingly through data mining approach. It has been identifies that there is a strapping correlation between the advertisement being clicked on social media and the fulfillment with commodities, and amidst purchasing commodities online and saving information for supplementary deliberations. The findings also points out the characteristics of product and price Conscious clusters for Purchasers' reaction and procuring after seeing online social media advertisement.

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