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:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | en |
| Published: |
2004
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/8152/1/24p%20AZIZUL%20AZHAR%20RAMLI.pdf http://eprints.uthm.edu.my/8152/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1833418584409243648 |
|---|---|
| author | Ramli, Azizul Azhar |
| author_facet | Ramli, Azizul Azhar |
| author_sort | Ramli, Azizul Azhar |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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. |
| format | Thesis |
| id | my.uthm.eprints-8152 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2004 |
| record_format | eprints |
| spelling | my.uthm.eprints-81522023-01-17T03:38:20Z http://eprints.uthm.edu.my/8152/ Web usage mining for UUM learning care using association rules Ramli, Azizul Azhar QA Mathematics QA76 Computer software 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. 2004-06 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/8152/1/24p%20AZIZUL%20AZHAR%20RAMLI.pdf Ramli, Azizul Azhar (2004) Web usage mining for UUM learning care using association rules. Masters thesis, Universiti Utara Malaysia. |
| spellingShingle | QA Mathematics QA76 Computer software Ramli, Azizul Azhar Web usage mining for UUM learning care using association rules |
| title | Web usage mining for UUM learning care using association rules |
| title_full | Web usage mining for UUM learning care using association rules |
| title_fullStr | Web usage mining for UUM learning care using association rules |
| title_full_unstemmed | Web usage mining for UUM learning care using association rules |
| title_short | Web usage mining for UUM learning care using association rules |
| title_sort | web usage mining for uum learning care using association rules |
| topic | QA Mathematics QA76 Computer software |
| url | http://eprints.uthm.edu.my/8152/1/24p%20AZIZUL%20AZHAR%20RAMLI.pdf http://eprints.uthm.edu.my/8152/ |
| url_provider | http://eprints.uthm.edu.my/ |