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1、ASurveyoftheStateoftheArtinDataMiningandIntegrationQueryLanguages(2011InternationalConferenceonNetwork-BasedInformationSystems)SabriPllana,IvanJanciak,PeterBrezany,andAlexanderWohrer¨ResearchGroupofScientificComputingUniversityofViennaNordbergstrasse15/C/3,1090V
2、ienna,Austriafpllana,janciak,brezany,woehrerg@par.univie.ac.atAbstract—Themajoraimofthissurveyistoidentifytheunderstanding(understandingtheprojectobjectivesandre-strengthsandweaknessesofarepresentativesetofData-Miningquirements);dataunderstanding(getfamiliarwit
3、hthedataandIntegration(DMI)querylanguages.Wedescribeasetofandidentifydataqualityproblems);datapreparation(alsopropertiesofDMI-relatedlanguagesthatweuseforasystematicknownasdatapre-processing,isabouthowtoconstructtheevaluationoftheselanguages.Inaddition,weintrod
4、uceascoringsystemthatweusetoquantifyouropiniononhowwellaDMI-finaldataset);modelling(dataminingtechniquesareselectedrelatedlanguagesupportsaproperty.Thelanguagessurveyedandappliedandtheirparametersarecalibrated);evaluationinthispaperinclude:DMQL,MineSQL,MSQL,M2MQ
5、L,(reviewthestepsexecutedtoconstructthemodeltobecertaindmFSQL,OLEDBforDM,MINERULE,andOracleDataitproperlyachievesthebusinessobjectives);deployment(whatMining.ThissurveymayhelpresearcherstoproposeaDMIactionswillneedtobecarriedoutinordertoactuallymakelanguagethat
6、isbeyondthestate-of-the-art,oritmayhelppractitionerstoselectanexistinglanguagethatfitswellauseofthecreatedmodels).purpose.On-LineAnalyticalProcessing(OLAP)isanapproachforIndexTerms—Datamining,dataintegration,querylanguagesprovidingfastanswerstoanalyticalqueriest
7、hataredimen-sionalinnature.SystemsconfiguredforOLAPoftenemployamultidimensionaldatamodel,alsocalledacube,allowingforI.INTRODUCTIONcomplexanalyticalandad-hocquerieswitharapidexecutionDataintegration,theprocessofcombiningdatafromdif-time.ferentsources,hasbeenanact
8、iveresearchtopicformanyTheDMIquerylanguagesdevelopedsofarsupporttheyears[13].Aperfectlyintegratedinformationsystemwouldabovementionedfunctionalityatdifferentlevel,asdiscusse
