Web usage mining for UUM learning care using association rules
The enormous content of information on the World Wide Web makes it obvious candidate for data mining research. Application of data milling techniques to the World Wide Web referred as Web mining where this term has been used in three distinct ways; Web Content Mining, Web Structure Mining and...
Saved in:
| 主要作者: | |
|---|---|
| 格式: | Thesis |
| 語言: | English |
| 出版: |
2004
|
| 主題: | |
| 在線閱讀: | http://eprints.uthm.edu.my/8152/1/24p%20AZIZUL%20AZHAR%20RAMLI.pdf |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 總結: | The enormous content of information on the World Wide Web makes it obvious candidate
for data mining research. Application of data milling techniques to the World Wide Web
referred as Web mining where this term has been used in three distinct ways; Web
Content Mining, Web Structure Mining and Web Usage Mining. E-Leaming is one of the
Web based application where it will facing with large amount of data. In order to
produce the university E-Learning (UUM Educare) portal usage patterns and user
behaviors, this paper implements the high level process of Web usage mining using basic
Association Rules algorithm - Apriori Algorithm. Web usage mining consists of three
main phases, namely Data Preprocessing, Pattern Discovering and Pattern Analysis.
Main resources, server log files become a set of raw data where it's must go through with
all the Web usage mining phases to produce the final results — set of rides. With the
powerful of data mining technique, Web usage mining approach has been combined with
the basic Association Rules, Apriori Algorithm to optimize the content of the university E�Learning portal. Finally, this paper will present an overview of results with the analysis
and Web administrator can use the findings for the suitable valuable actions. |
|---|