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Rough sets for mining educational data

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Open access
Authors
Johnson, J.
Johnson, Genevieve
Cavanagh, Rob
Date
2012
Type
Conference Paper
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Abstract

While educational data are typically analyzed with statistical software, data mining techniques are increasingly appropriate in revealing complex relationships among multiple variables in large amounts of data. We experimented with the rough set method in conjunction with statistical analysis to identify patterns in, and thereby extract meaning from, complex educational data. Results establish the benefits of combining rough set decision making with stochastic analysis in mining exceedingly complex and difficult to interpret educational data sets.

Citation
Johnson, Julia Ann and Johnson, Genevieve Marie and Cavanagh, Robert F. 2012. Rough sets for mining educational data, in Proceedings of the 2012 Spring World Congress on Engineering and Technology (SCET 2012): Sharing, Cooperating and Improving, May 27-30 2012, pp. 131-134. Xi'an, China: Institute of Electrical and Electronic Engineers.
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Proceedings of the Spring World Congress on Engineering and Technology
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