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- W2953374787 abstract "Identifying the user behavior is one of the aspect of web usage mining and hence web logs play an major role to identify the user behavior. There are many pattern mining methods to identify user behavior. The accuracy&quality of pattern mining algorithms are improved with the help of preprocessing techniques. Various activities like identifying the number of unique users, reducing the size of log file, identifying the sessions are done with the help of preprocessing techniques in the existing algorithms. The newly proposed algorithm is Enhanced User Behavior (EUB) which identifies user behavior and groups the similar kind of users using clustering techniques. This paper brings into discussion about the basic concepts of web log preprocessing, various existing clustering preprocessing techniques and the proposed EUB algorithm." @default.
- W2953374787 created "2019-06-27" @default.
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- W2953374787 date "2015-08-01" @default.
- W2953374787 modified "2023-09-26" @default.
- W2953374787 title "An Application of Preprocessing and Clustering in Web Log Mining" @default.
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