@inbook{afdc2e8aaa19499794eebe7690eb9f79,
title = "Computational Intelligence Methods for Data Analysis and Mining of eLearning Activities",
abstract = "Enhancing the the effectiveness of web-based eduction has become one of the most important concerns within both educational engineering and information system fields. The development of information technologies has contributed to the growth in elearning as an important education method. This learning environment enables learners to participate in {\textquoteright}any time, any place{\textquoteright} personalized training. It has been known that the application of data mining and computational intelligent approaches can provide better learning environments, and in their effort to participate in this field, the authors introduced this study which consists in its first part of a survey of the applications of data mining and computational intelligence in web based education during (2004-2009), and the second part is a case study that aims to analyze students{\textquoteright} activities performed in a Learning Management System.",
keywords = "data mining, association rule, soft computing, association rule mining, data mining technique",
author = "Pavla Dr{\'a}{\v z}dilov{\'a} and Gamila Obadi and Kate{\v r}ina Slaninov{\'a} and Shawki Al-Dubaee and Jan Martinovi{\v c} and V{\'a}clav Sn{\'a}{\v s}el",
year = "2010",
doi = "10.1007/978-3-642-11224-9_9",
language = "English",
isbn = "9783642112232",
volume = "273",
series = "Studies in Computational Intelligence",
publisher = "Springer",
pages = "195--224",
booktitle = "Computational Intelligence for Technology Enhanced Learning",
}