RMF: Rough Set Membership Function-based for Clustering Web Transactions
نویسندگان
چکیده
منابع مشابه
RoCeT: Rough Clustering for web Transactions
Grouping web transactions into clusters is important in order to obtain better understanding of user’s behavior. Currently, the rough approximation-based clustering technique has been used to group web transactions into clusters. However, the processing time is still an issue due to the high complexity for finding the similarity of upper approximations of a transaction which used to merge betwe...
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Grouping web transactions into clusters is important in order to obtain better understanding of user’s behavior. Currently, the rough approximation-based clustering technique has been used to group web transactions into clusters. However, the processing time is still an issue due to the high complexity for finding the similarity of upper approximations of a transaction which used to merge betwe...
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ژورنال
عنوان ژورنال: International Journal of Multimedia and Ubiquitous Engineering
سال: 2013
ISSN: 1975-0080,1975-0080
DOI: 10.14257/ijmue.2013.8.6.11