文章基本信息

标题：Data Preprocessing in Web Usage Mining
本地全文：下载
作者：Istrate Mihai
期刊名称：Ovidius University Annals: Economic Sciences Series
电子版ISSN：2393-3127
出版年度：2010
卷号：10
期号：1
语种：English
出版社：Ovidius University Press
摘要：Data collected from Web in the first stage of data mining are usually diverse and voluminous. These data must be assembled into a consistent,integrated and comprehensive view,in order to be used for pattern discovery. Like in most applications of data mining,data preprocessing involves removing and filtering redundant and irrelevant data,predicting and filling in missing values,removing noise,transforming and encoding data,as well as resolving any inconsistencies. The task of data transformation and encoding is particularly important for the success of data mining.
关键词：data preprocessing;data filtering;user identification;users session identification.