首页    期刊浏览 2025年08月11日 星期一
登录注册

文章基本信息

  • 标题:Educational Data mining for Prediction of Student Performance Using Clustering Algorithms
  • 本地全文:下载
  • 作者:M. Durairaj ; C. Vijitha
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2014
  • 卷号:5
  • 期号:4
  • 页码:5987-5991
  • 出版社:TechScience Publications
  • 摘要:In recent years, the biggest challenges that educational institutions are facing the explosive growth of educational data and to use this data to improve the quality of managerial decisions. Educational institutions are playing an important role in our society and playing a vital role for growth and development of nation. Prediction of student’s performance in educational environments is also important as well. Student’s academic Education details & performance is based upon various factors like personal details, social, psychological etc. Educational database contain the useful information for predicting a students’ performance, rank factor & details. The data mining techniques are more helpful in classifying educational database. Educational data mining concerns with developing methods for discovering knowledge from data, that comes from educational institutions. The Data Mining prediction has allowed a decision making tool which can facilitate better resource utilization in terms of students performance. In our college, the student details have been taken for analysis and data mining methods have been employed to get vital information. The work aims to develop a trust model using data mining techniques which mines required information, so that the present education system may adopt this as a strategic management tool
  • 关键词:Academic performance; Data mining; Data;classification; Clustering; Student’s result database
国家哲学社会科学文献中心版权所有