Open AccessRecommender System for Student Performance Using EDM
Author(s) -
S. JothiLakshmi,
Muthuraman Thangaraj
Publication year - 2018
Publication title -
asian journal of computer science and technology
Language(s) - English
Resource type - Journals
eISSN - 2583-7907
pISSN - 2249-0701
DOI - 10.51983/ajcst-2018.7.3.1898
Subject(s) - recommender system , computer science , collaborative filtering , artificial intelligence , mathematics education , data science , information retrieval , psychology
Student’s performance plays an important role in an educational institutions and economic growth of society by producing graduates. Educational Data mining algorithms are used to extract the hidden knowledge from the Educational institutions. The recommender system is a special type of information filtering system. This paper provides a recommender system for evaluate student performance that helps the students who need the special attentions.