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Clustering of Web Learners Based on Rough Set

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The demand for individualized teaching from E-learning websites is rapidly increasing due to the huge differences existed among Web learners.A method for clustering Web learners based on rough set is proposed.The basic idea of the method is to reduce the learning attributes prior to clustering, and therefore the clustering of Web learners is carried out in a relative low-dimensional space.Using this method, the E-learning websites can arrange corresponding teaching content for different clusters of learners so that the learners' individual requirements can be more satisfied.

rough setattributes reductionk-means clusteringindividualized teaching

LIU Shuai-dong、CHEN Shi-hong

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School of Computer, Wuhan University, Wuhan 430072, Hubei, China

National Engineering Research Center for Multimedia Software, Wuhan University, Wuhan 430072, Hubei, China

国家高技术研究发展计划(863计划)

2002AA111010,2003AA001032

2004

武汉大学自然科学学报(英文版)
武汉大学

武汉大学自然科学学报(英文版)

影响因子:0.066
ISSN:1007-1202
年,卷(期):2004.9(5)
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