e-ISSN:0976-5166
p-ISSN:2231-3850


INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING

Call for Papers

Aug 2019 - Volume 10, Issue 4
Deadline: 15 Jul 2019
Notification: 15 Aug 2019
Publication: 31 Aug 2019

Oct 2019 - Volume 10, Issue 5
Deadline: 15 Sep 2019
Notification: 15 Oct 2019
Publication: 30 Oct 2019

Indexed in

IJCSE Indexed in Scopus

ABSTRACT

Title : STUDENTS? PERFORMANCE PREDICTION BASED ON ROUGH SETS
Authors : M.Sudha, A.Kumaravel
Keywords : Rough sets, Students performance, decision rules, accuracy.
Issue Date : Oct-Nov 2017
Abstract :
Rough set theory is a new mathematical approach to imperfect knowledge. It was proposed by Pawlak in 1981. The benefit of rough set theory in data analysis is that it can easily find the reducts using approximations without need any preliminary or additional information about data. The proposed approach provides efficient algorithms for deducting unseen patterns in data. Due to this reason, we aimed to categorize the school studentís academic performance that took place in Portuguese school to find out valuable facts from the analyzed data. Since it is expected to get decision rules ROSE2 software was used to analyze studentís data in order to reduce the attributes without loss of information and to extract decision rules. The results of this study provide the related members and decision makers to reduce and prevent the poor performances of students by predicting them.
Page(s) : 584-589
ISSN : 0976-5166
Source : Vol. 8, No.5