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1、文献信息:文献标题:AStudyofDataMiningwithBigData(大数据挖掘研究)国外作者:VHShastri,VSreeprada文献出处:《InternationalJournalofEmergingTrendsandTechnologyinComputerScience》,2016,38(2):99-103字数统计:英文2291单词,12196字符;中文3868汉字外文文献: AStudyofDataMiningwithBigDataAbstractDatahasbecomeanimportantpartofeveryecono
2、my,industry,organization,business,functionandindividual.BigDataisatermusedtoidentifylargedatasetstypicallywhosesizeislargerthanthetypicaldatabase.Bigdataintroducesuniquecomputationalandstatisticalchallenges.BigDataareatpresentexpandinginmostofthedomainsofengineeringandscience.
3、Datamininghelpstoextractusefuldatafromthehugedatasetsduetoitsvolume,variabilityandvelocity.ThisarticlepresentsaHACEtheoremthatcharacterizesthefeaturesoftheBigDatarevolution,andproposesaBigDataprocessingmodel,fromthedataminingperspective.Keywords:BigData,DataMining,HACEtheorem,
4、structuredandunstructured.I.IntroductionBigDatareferstoenormousamountofstructureddataandunstructureddatathatoverflowtheorganization.Ifthisdataisproperlyused,itcanleadtomeaningfulinformation.Bigdataincludesalargenumberofdatawhichrequiresalotofprocessinginrealtime.Itprovidesaroo
5、mtodiscovernewvalues,tounderstandin-depthknowledgefromhiddenvaluesandprovideaspacetomanagethedataeffectively.Adatabaseisanorganizedcollectionoflogicallyrelateddatawhichcanbeeasilymanaged,updatedandaccessed.Dataminingisaprocessdiscoveringinterestingknowledgesuchasassociations,p
6、atterns,changes,anomaliesandsignificantstructuresfromlargeamountofdatastoredinthedatabasesorotherrepositories.BigDataincludes3V’sasitscharacteristics.Theyarevolume,velocityandvariety.Volumemeanstheamountofdatageneratedeverysecond.Thedataisinstateofrest.Itisalsoknownforitsscale
7、characteristics.Velocityisthespeedwithwhichthedataisgenerated.Itshouldhavehighspeeddata.Thedatageneratedfromsocialmediaisanexample.Varietymeansdifferenttypesofdatacanbetakensuchasaudio,videoordocuments.Itcanbenumerals,images,timeseries,arraysetc.DataMininganalysesthedatafromdi
8、fferentperspectivesandsummarizingitintousefulinformationthatc