A Method to Evaluate the Research Direction of University

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Abstract

The era is changing from information technology to data technology, big data is used very well in the field of financial, medical, e-commerce and so on, but not very well in the field of education. The idea of “Data - driven schools, analysis of change education” make the need for the educational data mining more and more prominent. Data mining in education can help us to connect the relevant areas of education and find the key educational variables, which can make the education and teaching decision simple and accurate. In this paper, by using the Chinese word segmentation algorithm, association rule and RStudio tool, we analyse the title of master’s thesis in four universities that have same discipline structure. The title data is obtained from http://www.cnki.net, which is an authority database in China. The results show that the research directions of the four university tend to be wireless network, mobile communication and algorithms.

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Cao, X. le, & Xi, X. qiang. (2018). A Method to Evaluate the Research Direction of University. In Advances in Intelligent Systems and Computing (Vol. 682, pp. 157–166). Springer Verlag. https://doi.org/10.1007/978-3-319-68527-4_17

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