A MapReduce-Based User Identification Algorithm in Web Usage Mining

Int. J. Inf. Technol. Web Eng. Pub Date : 2018-04-01 DOI:10.4018/IJITWE.2018040102

M. Srivastava, Rakhi Garg, P. K. Mishra

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引用次数: 5

Abstract

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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基于mapreduce的Web用户识别算法

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

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Int. J. Inf. Technol. Web Eng.

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