Using Naïve Bayes Algorithm to Students’ bachelor Academic Performances Analysis



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Using Naïve Bayes Algorithm to Students’ bachelor 
Academic Performances Analysis 
1
Fahad Razaque, 
1
Nareena Soomro, 
2
Shoaib Ahmed 
Shaikh, 
 
4
Safeeullah Soomro, 
1
Javed Ahmed Samo,
3
Natesh 
Kumar and
1
Huma Dharejo 
1
Department of Computing 
4
College of Computer Studies 
Indus University, 

Hamdard University,
3
Aligarh Institute Of Technology 
AMA International University 
Karachi, Sindh, Pakistan 
Kingdom of Bahrain 
fahad.indus1337@gmail.com, nainee_soom@yahoo.com
,
shoaib.ahmed@hamdard.edu.pk

samojeved@live.com

natesh_solanki1992@yahoo.com
 &
 
huma@indus.edu.pk
  
s.soomro@amaiu.edu.bh

Abstract- 
Academic Data Mining was one of emerging field which 
comprise procedure of examined students’ details by different 
elements such as earlier semester marks, attendance, assignment, 
discussion, lab work were of used to improved bachelor academic 
performance of students, and overcome difficulties of low ranks 
of bachelor students. It was extracted useful knowledge from 
bachelor academic students data collected from department of 
Computing. Subsequently preprocessing data, which was applied 
data mining techniques to discover classification and clustering. 
In this study, classification method was described which was 
based on naïve byes algorithm and used for Academic data 
mining. It was supportive to students along with to lecturers for 
evaluation of academic performance. It was cautionary method 

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