文章基本信息

标题：An Empirical Study of the Applications of Data Mining Techniques in Higher Education
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作者：Dr. Varun Kumar ; Anupama Chadha
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2011
卷号：2
期号：3
DOI：10.14569/IJACSA.2011.020314
出版社：Science and Information Society (SAI)
摘要：Few years ago, the information flow in education field was relatively simple and the application of technology was limited. However, as we progress into a more integrated world where technology has become an integral part of the business processes, the process of transfer of information has become more complicated. Today, one of the biggest challenges that educational institutions face is the explosive growth of educational data and to use this data to improve the quality of managerial decisions. Data mining techniques are analytical tools that can be used to extract meaningful knowledge from large data sets. This paper addresses the applications of data mining in educational institution to extract useful information from the huge data sets and providing analytical tool to view and use this information for decision making processes by taking real life examples.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Higher education; Data mining; Knowledge discovery; Classification; Association rules; Prediction; Outlier analysis.