Optimization of an online course with web usage mining

Date

2004-02-18

Author

Akman, LE
Akkan, B
Baykal, Nazife

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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The huge amount of information existing in the World Wide Web constitutes an ideal environment to implement data mining techniques. Web mining is the mining of web data. There are different applications of web mining: web content mining, web structure mining and web usage mining. In our study we analyzed an online course by web usage mining techniques in order to optimize the navigation paths, the duration of the time spend on each page and the number of visits throughout the semester of the course. Moreover possible solutions have been proposed to the problems that have been fixed by our work. We conclude the paper with the results of our study.

Subject Keywords

Web Mining, Web Usage Mining, Data Mining

URI

https://hdl.handle.net/11511/55618

Conference Name

IASTED International Conference on Artificial Intelligence and Applications

Collections

Graduate School of Informatics, Conference / Seminar

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Citation Formats

L. Akman, B. Akkan, and N. Baykal, “Optimization of an online course with web usage mining,” presented at the IASTED International Conference on Artificial Intelligence and Applications, Innsbruck, AUSTRIA, 2004, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55618.