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1、毕业设计（论文）——外文翻译（原文）NEWAPPLICATIONOFDATABASERelationaldatabaseshavebeeninuseforovertwodecades.Alargeportionoftheapplicationsofrelationaldatabaseshavebeeninthecommercialworld,supportingsuchtasksastransactionprocessingforbanksandstockexchanges,salesandreservationsforavarietyofbusinesses,a
2、ndinventoryandpayrollforalmostofallcompanies.Westudyseveralnewapplications,whichhavebecomeincreasinglyimportantinrecentyears.First.Decision-supportsystemAstheonlineavailabilityofdatahasgrown,businesseshavebeguntoexploittheavailabledatatomakebetterdecisionsaboutincreasesales.Wecanextra
3、ctmuchinformationfordecisionsupportbyusingsimpleSQLqueries.Recentlyhowever,peoplehavefelttheneedforbetterdecisionsupportbasedondataanalysisanddatamining,orknowledgediscovery,usingdatafromavarietyofsources.Databaseapplicationscanbebroadlyclassifiedintotransactionprocessinganddecisionsu
4、pport.Transaction-processingsystemsarewidelyusedtoday,andcompanieshaveaccumulatedavastamountofinformationgeneratedbythesesystems.Thetermdataminingreferslooselytofindingrelevantinformation,or“discoveringknowledge,”fromalargevolumeofdata.Likeknowledgediscoveryinartificialintelligence,da
5、taminingattemptstodiscoverstatisticalrulesandpatternsautomaticallyfromdata.However,dataminingdiffersfrommachinelearninginthatitdealswithlargevolumesofdata,storedprimarilyondisk.Knowledgediscoveredfromadatabasecanberepresentedbyasetofrules.Wecandiscoverrulesfromdatabaseusingoneoftwomod
6、els:Inthefirstmodel,theuserisinvolveddirectlyintheprocessofknowledgediscovery.Inthesecondmodel,thesystemisresponsibleforautomaticallydiscoveringknowledgefromthedatabase,bydetectingpatternsandcorrelationsinthedata.Workonautomaticdiscoveryofruleshasbeeninfluencedstronglybyworkintheartif
7、icial-intelligencecommunityonmachinelearning.Themaindifferenceslieinthevolumeofdatahandledindatabases,andintheneedtoaccessdisk.Specializeddata-miningalgorithmshavebeendevelopedtohandlelargevolumesofdisk-residentdataefficiently.Themannerinwhichrulesarediscovereddependsontheclassofdata-
8、minin
