A Survey and Future Vision of Data Mining in Educational Field
作者： R. Barahate Sachin , M. Shelake Vijay
DOI: 10.1109/ACCT.2012.14
关键词: Data mining 、 Computer science 、 Data science 、 Educational data mining 、 Intelligent tutoring system 、 Association rule learning 、 Leverage (statistics) 、 Cluster analysis 、 Text mining
摘要: Educational data mining is an emerging trend, concerned with developing techniques for exploring, and analyzing the huge that come from educational context. EDM poised to leverage enormous amount of research community apply problems in learning, cognition assessment. In recent years, has proven be more successful at many these statistics due computing power algorithms. This paper surveys history applications field. The objective introduce traditional system, web-based intelligent tutoring e-learning. describes how main such as prediction, classification, relationship mining, clustering, social area networking data.
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