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1、HhotelonlinebookingcustomerbehavioranalysisandmarketingresearchAbstractWiththedevelopmentofthedomesticeconomyandthetourismindustry,thehotelindustryisbecomingincreasinglyfiercecompetition.Onlinereservationbookingmajorwayasamoderntourism,hotelbusinesssalesconst
2、ituteanimportantfactor.Toensurethecompetitivenessofenterprises,optimizemarketingstrategies,investalotofresourcestoanalyzecustomerbehavioronlinebooking,userinformationclusteringanalysisanddatamininghasbecomethefocusofattentionofthehotelmanagementindustry.Atthi
3、sstage,thedatasizeofhotelemployeesindailyoperationsandcustomerinformationmanagementprocesstodealwiththeexponentialgrowth,TB,PB,EBandeventheamountofdataisnolongeruncommon,thisistheclusteringanalysisanddataminingworkofthenewchallenge.Usingthetraditionalstand-al
4、onedataprocessingmodesingletreatment,notonlytakesalotoftimeandhumanresources,andbecauseofthelimitedstand-aloneprocessingpowerwilleventuallyleadtothegrowingamountofinformationexceedsthetimedataprocessingcompaniesacceptablerange.Againstthisbackground,thehotelma
5、nagementsystemsneedtobuildanefficientinformationhandling,massivecustomerinformationdatacollectionandcollation,researchcustomerbookingbehavior.Ingeneral,therearetwoways.Thefirstistoimprovethesingleprocessingefficiencyandincreasetheinternalmemory.Thiswaytheeffe
6、ctisobvious,canmeettheneedsofenterpriseinformationprocessinginashorttime,buttheacquisitionoftheupdateandthestorageunitofthedeviceusuallytakeslargecosts.Therefore,thisideaofdistributedparallelprocessingusingtheinexpensiveminicomputers,ormicrocomputersconstitut
7、eaprocessingcluster,theK-meansalgorithmisappliedtoadistributedsystem,withaviewofHhotelcustomersbookingbehavioranalysisandresearch.Thepaperisdividedintosixchapters.Firstly,elaboratedontheresearchbackground,significance,researchstatus.Secondly,thispaperintroduc
8、esrelatedtotherelevanttheoriesandconcepts.TheThirdchapterintroducetheHhotelbackgroundtoanalysesthecurrentsituationoftheonlinebookingbehavioranditscustomers,putsforwardthenecessitytoimprov
