Web Usage Mining for UUM Learning Care Using Association Rules
The enormous of information on the World Wide Web makes it obvious candidate for data mining research. Application of data mining techniques to the World Wide Web referred as Web mining where this term has been used in three distint ways; Web Content Mining, Web Structure Mining and Web Usage Minin...
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| Format: | Thesis |
| Language: | en en |
| Published: |
2004
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| Online Access: | https://etd.uum.edu.my/1121/1/AZIZUL_AZHAR_RAMLI.pdf https://etd.uum.edu.my/1121/2/1.AZIZUL_AZHAR_RAMLI.pdf https://etd.uum.edu.my/1121/ |
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| _version_ | 1833435579998535680 |
|---|---|
| author | Azizul Azhar, Ramli |
| author_facet | Azizul Azhar, Ramli |
| author_sort | Azizul Azhar, Ramli |
| building | UUM Library |
| collection | Institutional Repository |
| content_provider | Universiti Utara Malaysia |
| content_source | UUM Electronic Theses |
| continent | Asia |
| country | Malaysia |
| description | The enormous of information on the World Wide Web makes it obvious candidate for data mining research. Application of data mining techniques to the World Wide Web referred as Web mining where this term has been used in three distint ways; Web Content Mining, Web Structure Mining and Web Usage Mining. E-Learning 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 Patern Analysis. Main resources, server log files become a set of raw data where it's must go through with all the Web usage 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.uum.etd-1121 |
| institution | Universiti Utara Malaysia |
| language | en en |
| publishDate | 2004 |
| record_format | eprints |
| spelling | my.uum.etd-11212013-07-24T12:10:30Z https://etd.uum.edu.my/1121/ Web Usage Mining for UUM Learning Care Using Association Rules Azizul Azhar, Ramli QA76 Computer software The enormous of information on the World Wide Web makes it obvious candidate for data mining research. Application of data mining techniques to the World Wide Web referred as Web mining where this term has been used in three distint ways; Web Content Mining, Web Structure Mining and Web Usage Mining. E-Learning 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 Patern Analysis. Main resources, server log files become a set of raw data where it's must go through with all the Web usage 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 Thesis NonPeerReviewed application/pdf en https://etd.uum.edu.my/1121/1/AZIZUL_AZHAR_RAMLI.pdf application/pdf en https://etd.uum.edu.my/1121/2/1.AZIZUL_AZHAR_RAMLI.pdf Azizul Azhar, Ramli (2004) Web Usage Mining for UUM Learning Care Using Association Rules. Masters thesis, Universiti Utara Malaysia. |
| spellingShingle | QA76 Computer software Azizul Azhar, Ramli 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 | QA76 Computer software |
| url | https://etd.uum.edu.my/1121/1/AZIZUL_AZHAR_RAMLI.pdf https://etd.uum.edu.my/1121/2/1.AZIZUL_AZHAR_RAMLI.pdf https://etd.uum.edu.my/1121/ |
| url_provider | http://etd.uum.edu.my/ |