文章基本信息

标题：Study of Trends in Higher Education
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作者：R. Lakshman Naik ; S.S.V.N. Sarma ; B. Manjula 等
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2011
卷号：2
期号：1
出版社：Seventh Sense Research Group
摘要：One of the most important facts in higher education system is quality. It concerns with all the circumstances to enhance the higher educational organizations. One way to reach the highest level of quality in higher education systems is implementing the key trends for higher education along with the role of technology. This can be achieved by utilizing valuable implicit knowledge, which is currently unknown. This knowledge is hidden among the educational data set and it is extractable through data mining technology. The knowledge, previously unknown and potentially useful is discovered from raw educational data; through data mining techniques to implement current trends in higher education. In this paper we discuss how data mining applications can help to implement current higher educational trends, including incoming students, faculty support and data management.
关键词：Data mining; Educational trends; DMM; Explicit knowledge