基于mapreduce的Web用户识别算法

M. Srivastava, Rakhi Garg, P. K. Mishra
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引用次数: 5

摘要

Thisarticlecontendsthatintheboomingeraofinformation,analysingusers ' navigationbehaviour isanimportanttask。Useridentificationisconsideredasoneoftheimportantandchallengingtasks inthedatapreprocessingphaseoftheWebusageminingprocess。Therearethreeimportantissues withthereactivestrategiesofUseridentificationmethodsthatneedtobefocused:thefirstisdealing ofsharing IPaddressproblem inaproxyserverenvironment, thesecond isdistinguishingusers fromWebrobots,andthethirdisdealingwithhugedatasetsefficiently。Inthisarticle,authorshave developedaMapReduce-basedUseridentificationalgorithmthatdealswiththeabovementioned threeissuesrelatedtouseridentificationmethods。Moreover,theexperimentontherealwebserver logshowstheeffectivenessandefficiencyofthedevelopedalgorithm。关键词:数据清洗,数据预处理,Hadoop, MapReduce,用户识别,Web服务器日志,Web使用挖掘
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A MapReduce-Based User Identification Algorithm in Web Usage Mining
Thisarticlecontendsthatintheboomingeraofinformation,analysingusers’navigationbehaviour isanimportanttask.Useridentificationisconsideredasoneoftheimportantandchallengingtasks inthedatapreprocessingphaseoftheWebusageminingprocess.Therearethreeimportantissues withthereactivestrategiesofUseridentificationmethodsthatneedtobefocused:thefirstisdealing ofsharing IPaddressproblem inaproxyserverenvironment, thesecond isdistinguishingusers fromWebrobots,andthethirdisdealingwithhugedatasetsefficiently.Inthisarticle,authorshave developedaMapReduce-basedUseridentificationalgorithmthatdealswiththeabovementioned threeissuesrelatedtouseridentificationmethods.Moreover,theexperimentontherealwebserver logshowstheeffectivenessandefficiencyofthedevelopedalgorithm. KEyWoRdS Data Cleaning, Data Preprocessing, Hadoop, MapReduce, User Identification, Web Server Log, Web Usage Mining
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