RMF: Rough Set Membership Function-based for Clustering Web Transactions
One of the most important techniques to improve information management on the web in order to obtain better understanding of user's behaviour is clustering web data. Currently, the rough approximation-based clustering technique has been used to group web transactions into clusters. It is based...
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| 主要な著者: | , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
SERSC
2013
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| 主題: | |
| オンライン･アクセス: | http://umpir.ump.edu.my/id/eprint/7504/1/RMF-_Rough_Set_Membership_Function-based_for_Clustering_Web_Transactions.pdf http://umpir.ump.edu.my/id/eprint/7504/ http://dx.doi.org/10.14257/ijmue.2013.8.6.11 |
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