文章基本信息

标题：Educational Data Mining and its role in Educational Field
本地全文：下载
作者：P. Meena Kumari ; SK.Abdul Nabi ; Puppal Priyanka 等
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：2
页码：2458-2461
出版社：TechScience Publications
摘要：Data mining is about explaining the past and predicting the future by means of data analysis. Educational Data Mining is a promising discipline which has an imperative impact on predicting students’ academic performance. Thousands of students take admissions in Universities and colleges every year, at the time of admissions they collect the students’ data. In the same way while the Teachers join in the institution they collect their personal and professional data. Understand the importance of data is essential from a business point of view. Data collected at the time of admission can be used for classifying and predicting students’ behavior and performance as well as teachers’ performance. Therefore, in this paper, we are examining the role of Data mining in an Educational Field. By using SDAR, we have identified possible grade values i.e., Excellent, Good, Average and Poor or Fail. We have used K-means clustering algorithm to find the best cluster center for attributes like attendance, Sessional marks and assignment marks etc. We have also discussed a Rule-Based Classification (RBC) method; it extracts a set of rules that shows relationships between attributes of the data set and the class label. In this paper we have also addressed the evaluation of Teachers’ performance by using data mining techniques at University and College level.
关键词：EDM; SDAR; K-Means Clustering; RBC; Student;Feedback.