期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：4
页码：473-477
语种：English
出版社：Ayushmaan Technologies
摘要：Higher education is a vital area for any successful country. All research and inventions mostly comes from higher education. Top most valuable professional like engineers, managers, scientists are comes from the channel of higher education. It would be better for institutions and universities to effectively trace the moving path of its students and alumni. Depending on the path of its passed out students universities can change its current strategy and forthcoming ones. Data mining is used to extract meaningful information and to develop significant relationships among variables stored in large data set/ data warehouse. K-means clustering is a popular clustering algorithm based on the partition of data. Clustering analysis method is one of the main analytical methods in data mining; the method of clustering algorithms will influence the clustering result directly. This proposed paper discusses the K-means clustering algorithm and analyzes student’s educational data. Here K-means clustering method is used to discover knowledge that come from educational environment.
关键词：Data Mining;Educational Data Mining;Clustering Analysis; K-means Clustering Algorithm
