计算机专业英语论文.docx

计算机专业英语论文.docx

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专业英语结课论文

学号：

**********

姓名：

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论文题目：

TheRelationshipandDistinction

BetweenBigDataandDataMining

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

TheRelationshipandDistinctionBetweenBigDataandDataMining

StudentID:

*

Name:

*

Adviser:

*

GuilinUniversityofElectronicTechnology

**,*

Abstract:

Inthispaper,dataminingisdiscussedinthecontextofbigdata.Firstly,weelaboratethefactthatbigdataplaysaprimaryroleinattractingacademiccommunity,businessindustryandgovernments.Secondly,theadverseofbigdataisdiscussed,suchasmuchgarbage,heavypollutionanditsdifficultiesinutilization.Finally,wedissectthevalueinbigdata,expoundthetechniquestodiscoverknowledgefrombigdata,andinvestigatethetransformationfromknowledgeintodataintelligences.

Keywords:

bigdata;datamining;dataintelligence

1.Introduction

Asdatavolumescontinuetoincreaseexponentially,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. Section2 elaboratethefactthatbigdataplaysaprimaryroleineveryfields.Thentheadverseofbigdataisdiscussedinsection3.Afteranalyzingthevalueofbigdata,weintroduces therelated knowledgeanddevelopmentofdataminingin section5.In Section6,theeffectivenessofdataminingisintroduced.Finally,theconclusionfollow.

2.Aboutbigdata

Bigdataiscomplexdatasetthathasthefollowingmaincharacteristics:

Volume,Variety,VelocityandVeracity[2][3]. Thesemakeitdifficulttousetheexistingtoolstomanageandmanipulate.Inthesedata,bigdataspecificallyaccountsforthevastmajority. Bigdataisthebasisofdataandsourceofwisdomforpeopletounderstandthereal-worldthroughtheinformationworld. BigDataiscloselyrelatedtoapplications[4][5],andbigdataminingisitsprincipalapplication.

2.1Fromunderstandingthereal-worldtocreatingtheinformationworld

Humancivilizationisaprocessfromunderstandingthereal-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.Cloudcomputingcentersservicebyconsolidatingexpertiseandoptimizingtheallocationofr