@inproceedings{20a9e955e3cb4049b8015eeb8fe17e19,
title = "Grouping users' communities in an interactive web-based learning system: A data mining approach",
abstract = "Discovery of user communities can help designers to develop learning systems that are more suitable to the needs of different individuals. The study builds user communities based on their common navigation behavior using the K-means algorithm. The results indicated that three user groups could be identified and cognitive style is a potential factor that may influence the patterns of each group.",
author = "Minetou, {Christine G.} and Chen, {Sherry Y.} and Xiaohui Liu",
year = "2005",
doi = "10.1109/ICALT.2005.164",
language = "???core.languages.en_GB???",
isbn = "0769523382",
series = "Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005",
pages = "474--475",
booktitle = "Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005",
note = "5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005 ; Conference date: 05-07-2005 Through 08-07-2005",
}