scholarly journals User Behaviour Analysis using Data Analytics and Machine Learning to Predict Malicious User versus Legitimate User

2021 ◽  
pp. 100034
Author(s):  
Rohit Ranjan ◽  
Shashi Shekhar Kumar
2021 ◽  
Vol 58 ◽  
pp. 393-400
Author(s):  
John F. Cardona ◽  
Juliana Castaneda ◽  
Leandro do C. Martins ◽  
Mariem Gandouz ◽  
Angel A. Juan ◽  
...  

2018 ◽  
Vol 7 (4.6) ◽  
pp. 161
Author(s):  
Aditya Sai Srinivas ◽  
Somula Ramasubbareddy ◽  
Manivannan S.S ◽  
Govinda K

One of the major tasks for the modern business is learning to use all of the data available to them in a way that is both expressive and actionable. However, the potential for using data produced by a website is often left unfamiliar, and as a result, the objectives and feedbacks of individual digital customers can be unheeded. On the average website, there is a plenty of data to be collected about who interrelates with your site and how. By leveraging all of this statistics, we can gain perceptions into customer actions. Machine learning methods can be used to define which customers may be fascinated in achieving a result on your site.   


2018 ◽  
Vol 06 (06) ◽  
pp. 110-115
Author(s):  
Panchami Anil ◽  
Anas P V ◽  
Naseef Kuruvakkottil ◽  
Anusha K V ◽  
Balagopal N

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