We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

SPACS: Students’ Performance Analysis and Counseling System using Fuzzy logic and Association Rule Mining

by Ritu Banswal, Vishu Madaan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 134 - Number 3
Year of Publication: 2016
Authors: Ritu Banswal, Vishu Madaan
10.5120/ijca2016907857

Ritu Banswal, Vishu Madaan . SPACS: Students’ Performance Analysis and Counseling System using Fuzzy logic and Association Rule Mining. International Journal of Computer Applications. 134, 3 ( January 2016), 12-17. DOI=10.5120/ijca2016907857

@article{ 10.5120/ijca2016907857,
author = { Ritu Banswal, Vishu Madaan },
title = { SPACS: Students’ Performance Analysis and Counseling System using Fuzzy logic and Association Rule Mining },
journal = { International Journal of Computer Applications },
issue_date = { January 2016 },
volume = { 134 },
number = { 3 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = { 12-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume134/number3/23893-2016907857/ },
doi = { 10.5120/ijca2016907857 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:33:08.943414+05:30
%A Ritu Banswal
%A Vishu Madaan
%T SPACS: Students’ Performance Analysis and Counseling System using Fuzzy logic and Association Rule Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 134
%N 3
%P 12-17
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Education plays an important role in one’s life if the right education and right environment is not provided then it somewhat distract the person from his/her path. In this regard, fuzzy expert system known as SPACS (Students’ Performance Analysis and Counselling System) is designed which helps to analyze the students’ academic performance by identifying all the critical factors and counsels him/her against those affecting parameters. In this paper, the study highlights on the critical factors that degrades the academic performance of the student based on the some interesting relationships between those factors. The performance of the overall system depends on the accuracy of the fuzzy knowledge base. Hence, association rule mining technique helps to generate the accurate results and also decreases the complexity of the system.

References
  1. Agrawal, Rakesh, Tomasz Imieliński, and Arun Swami. "Mining association rules between sets of items in large databases." In ACM SIGMOD Record, vol. 22, no. 2, pp. 207-216. ACM, 1993.
  2. Kaur, Parwinder, Prateek Agrawal, Sanjay Kumar Singh, and Leena Jain. "Fuzzy rule based students' performance analysis expert system." In Issues and Challenges in Intelligent Computing Techniques (ICICT), 2014 International Conference on, pp. 100-105. IEEE, 2014.
  3. Oladipupo, Olufunke O., Olanrewaju J. Oyelade, and Dada O. Aborisade. "Application of Fuzzy Association Rule Mining for Analysing Students Academic Performance." International Journal of Computer Science Issues (IJCSI), Vol. 9, Issue 6 No. 3, 2012.
  4. Bambrah, Charanjit, Minakshi Bhandari, Nirali Maniar, and Vandana Munde. "Mining Association Rules in Student Assessment Data." In International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), Vol. 3, Issue 3, 2014.
  5. Wang, Hua, Ping Liu, and Hongyang Li. "Application of improved association rule algorithm in the courses management." In Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on, pp. 804-807. IEEE, 2014.
  6. K.Rajeswari, Mahadev Shindalkar, Nikhil Thorawade, Pranay Bhandari. “DSS Using Apriori Algorithm, Genetic Algorithm and Fuzzy Logic” International Journal of Engineering Research and Applications (IJERA), Vol. 3, Issue 4, 2013, pp.132-136
  7. Nosratabadi, Hamid Eslami, Ahmad Nadali, and Sanaz Pourdarab. "Credit Assessment of Bank Customers by a Fuzzy Expert System Based on Rules Extracted from Association Rules.” International Journal of Machine Learning and Computing, Vol. 2, No. 5, (2012)
  8. Nosratabadi, Hamid Eslami, Ahmad Nadali, and Sanaz Pourdarab.” “Evaluating Discovered Rules from Association Rules Mining Based on Interestingness Measures Using Fuzzy Expert System” International Journal of Machine Learning and Computing (IJMLC), Vol.2,No.5,IEEE2011
Index Terms

Computer Science
Information Sciences

Keywords

Association rule mining fuzzy expert system fuzzy logic apriori algorithm itemsets fuzzy set.