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- W2364650400 abstract "Massive growth of web log data demand clustering algorithm to efficiently get the satifctory user clustering from massive amounts of data.This paper proposes a new clustering algorithm,a weights degree of user interest value to reduce the massive amounts of data was used,the size of computing scales before clustering were reduced,then web users were clustered.Experiments show that this method can reduce the data size,improve clustering efficiency and get the satisfactory user clustering." @default.
- W2364650400 created "2016-06-24" @default.
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- W2364650400 date "2010-01-01" @default.
- W2364650400 modified "2023-09-28" @default.
- W2364650400 title "The study of Web-user clustering" @default.
- W2364650400 hasPublicationYear "2010" @default.
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