计算机专业英语论文

######专业英语结课论文学号：**********姓名：**********论文题目：TheRelationshipandDistinctionBetweenBigDataandDataMining任课教师：************专业名称：计算机技术所属学院：计算机科学与工程学院桂林电子科技大学研究生院**年*月*日TheRelationshipandDistinctionBetweenBigDataandDataMiningStudentID:*Name:*Adviser:*GuilinUniversityofElectronicTechnology**,*1Abstract:Inthispaper,dataminingisdiscussedinthecontextofbigdata.Firstly,weelaboratethefactthatbigdataplaysaprimaryroleinattractingacademiccommunity,businessindustryandgovernments.Secondly,theadverseofbigdataisdiscussed,suchasmuchgarbage,heavypollutionanditsdifficultiesinutilization.Finally,wedissectthevalueinbigdata,expoundthetechniquestodiscoverknowledgefrombigdata,andinvestigatethetransformationfromknowledgeintodataintelligences.Keywords:bigdata;datamining;dataintelligence1.IntroductionAsdatavolumescontinuetoincreaseexponentially,thedatatsunamicaneasilyoverwhelmtraditionalanalyticstoolsorplatformsdesignedtoingest,analyzeandreport.Everyday,2.5quintillionbytesofdataarecreatedand90percentofthedataintheworldtodaywereproducedwithinthepasttwoyears[1].Thechallengewearefacingisnotonlyhowtostoreandmanagediversedatabutalsotoeffectivelyanalyzethedatatogaininsightknowledgetomakesmarterdecisions.Currently,anumberofworkshavebeenpresented.Theseresearchesintroducebigdata,miningandanalyzingfromdifferentaspects,suchasstatusquo,ideasorimplementations.Forexample:introducesthe“LambdaArchitecture”whichprovidesageneralpurposeapproachtoimplementarbitraryfunctionsonmassivedatasetinrealtime;ascalabledeepanalyticsplatformhasbeenimplemented.Becauseofthecomplexity,thereisnosingletoolorone-size-fits-allsolutionfordeeplyminingandanalyzingthebigdata.Moreover,extractingvaluableknowledgefrommassivedatasetsrequiresfurtherstudies,experimentsaswellasscalableandsmartservices,programmingtoolsandapplicationsachieved.Theremainderofthispaperisstructuredasfollows.Section2elaboratethefactthatbigdataplaysaprimaryroleineveryfields.Thentheadverseofbigdataisdiscussedinsection3.Afteranalyzingthevalueofbigdata,weintroducestherelatedknowledgeanddevelopmentofdatamininginsection5.InSection6,theeffectivenessofdataminingisintroduced.Finally,theconclusionfollow.2.AboutbigdataBigdataiscomplexdatasetthathasthefollowingmaincharacteristics:Volume,Variety,VelocityandVeracity[2][3].Thesemakeitdifficulttousetheexistingtoolstomanageandmanipulate.Inthesedata,bigdataspecificallyaccountsforthevastmajority.Bigdataisthebasisofdataandsourceofwisdomforpeopletounderstandthereal-worldthroughtheinformationworld.BigDataiscloselyrelatedtoapplications[4][5],andbigdataminingisitsprincipalapplication.22.1Fromunderstandingthereal-worldtocreatingtheinformationworldHumancivilizationisaprocessfromunderstandingthereal-worldtocreatingtheinformationworld,whichhasgonethroughthefollowingstages:preliminarysensingtheworld,helpingmemorybyinformation,recordedandinheritedbyinformation,exchangeandcommunicationbyinformationandunderstandingtheworldonceagainbyinformation.Initially,Humantakeadvantageofstonesandshellstocountaccordingtotheprincipleofone-to-one.AndtheytieknotsNotetohelpmemory.Later,Humanusesimplegraphics,drawnotes,andinheritmoreaccuratememorythroughtheirownemotionalprompted.Whenthegraphicsbecomebodyrelativelyfixedcommonsymbol,andassociatewiththewordsinthelanguage,itproducestexts.Textsabstractandgeneralizetheworld,promoteculturalunderstanding,andpreparethenecessaryfoundationforthedevelopmentofscience.Aimedatbreakingthroughtherestrictionswhichthewrittensymbolsdependonartificialcopyingorengraving,Humanusemachinesafterindustrialrevolutiontovolumemechanizedproduction,whichimprovestheefficiencyoftheculturaltransmission.Computercentershigh-speedcomputing,andspinsoffthesoftwarefromthehardware,contributingtothedisseminationofinformation“electronically”and“automatically”.Internetcentersnetwork,interrelatescomputers,breakinglocalinformationrestriction.Mobilecommunicationcentersusers,makingthemachinefollowsuser'smovementsandunboundshumanfromthemachine.InternetofThingscentersapplications,automaticallyidentifiesobjects,toenabletheinformationsharingbetweenthehumanandthings.Cloudcomputingcentersservicebyconsolidatingexpertiseandoptimizingtheallocationofresources.Bigdatacentersdata,andminesknowledgeintheentiredata,breakingthesamplingrandomnessofthesample[6][7],anddemonstratingonbigdatacenterandmobileterminal.Theseinformationtechnologiesservefortheunderstandingandtransformingoftherealworld.2.2BigdataisattractingmuchattentionAshumansexploretherealworldthroughscientificresearch,humansunravelthemysteriesintheinformationworldthroughbigdataanddatamining,whichareattractingmuchattentionfromacademia.InMay2011,McKinseypublished“Bigdata:thenextfrontierforinnovation,competition,andproductivity”,analyzedapplicationpotentialofbigdataindifferentindustriesfromtheeconomicandcommercialdimensions,spelledoutthedevelopmentpolicyfortheGovernmentandindustrydecisionmakersdealingwithbigdata.InJanuary2012,the“WallStreetJournal”arguedthatbigdata,smartproductionandwirelessnetworktwillleadtoneweconomicprosperity[8].InMarch2012,theUnitedStatesgovernmen