基于距離的量化關(guān)聯(lián)規(guī)則研究.pdf

1、內(nèi)蒙古科技大學(xué)碩士學(xué)位論文基于距離的量化關(guān)聯(lián)規(guī)則研究姓名：申海濤申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：控制理論與控制工程指導(dǎo)教師：邢東旭孟海東20090605AbstractWiththedevelopmentofdatabaseandInternettechnologythevolumesofdataandinformationwhichcailbeobtainedincreaseatthespeedofexponentDataminingcome

2、suptosolvetheproblemthathowtodistilltheusefulknowledgewhichCanbeusedfordecisionsupportingfrommassesofdataAnalysisofassociationrulesinda|taminingisallimportantmethod，whichfindstheinterestingrelationsbetweenitemsorattribut

3、esofdatabaseAssociationruleminingaimedtofindtheassociatedrelationshipofa玉atdealofitemsetsinthedatabaseAtpresent，theassociationrulesinquantitativeassociationrulemininghasbecomeanimportantresearchdirectioninthefieldofdatam

4、iningIIlthebackgroundofquantitativeassociationruleminingthispaperhasdonethedistance—basedquantitativeassociationrulesresearchesFirstlyweintroducedsometheoriesandconceptsofdataminingandassociationrulemining，andcommonalgor

5、ithmsOnthisbasis，themajorstudyoftheApriodalgorithm’SproblemswhichusedforminingquantitativeassociationrulesThen，byintroducingthethinkingofminingquantitativeassociationruleofalgorithmsatpresent，weanalyzedemphaticallythealg

6、orithmofthedistance—basedassociationrules(DRA)，andsomeimprovementswereproposed：First，improvedtheclusteringpart，whichclustersallattributesofdatawiththeK—meansandCADD，SOthatclusteringresultsreflectbettertherelationshipbetw

7、eendata；Second，reducedthequalificationofthedefinitionofdistancebasedquantitativeassociationrules，SOthatthisalgorithmusedmoreeasily；Third，usingtheradiusofclusterforsettingtheparameterDomakesmorereasonableandunderstandssim

8、plyThealgorithmWasprogrammedbyVC60，andachievedthevisualizingdataminingFinallyinordertotestifythevalidityoftheimprovedalgorithm，thegeochemicalsurveydatainacertainareainChinaandclinicaldatawereminedandanalyzedbytheimproved