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1、南昌大學(xué)碩士學(xué)位論文數(shù)據(jù)挖掘技術(shù)在高危人員犯罪信息挖掘的應(yīng)用研究姓名:張予申請(qǐng)學(xué)位級(jí)別:碩士專業(yè):計(jì)算機(jī)技術(shù)指導(dǎo)教師:邱桃榮;熊光弼20091230AbstractABSTRACTThepublicsecuritydepartmentsplaysanimportantroleinmaintainingsocialstabilityandeconomicprosperity,whosebusinessisextensive,involvinganti—criminaltraffic,socialsecurityandotheraspectsofs
2、ociety.Alongwitllthepromotionofthenational”ProjectGold-Shield”andthecontinuousdevelopmentoftheinformationconstructioninthePublicsecuritydepartments,alotofinternaldatahasbeenaccumulatedinanumberofpublicsecurityinformationcentersforanalyzing.However,atpresent,themajorityofappl
3、icationsinthepublicsecuritydepartmentsstillremaininthequery,statisticsandothersimpleandtraditionalfunctionsontheuseofthedata,butfewin-depthanalysesforthepredictionandprevention.SothepublicsecuritydepartmentsurgentlyneedanautomatedtoolforpressingthehiddenpaRemandtrendsinthecr
4、imedata.Howtoobtainusefulinformationanddiscoverusefulknowledgefromthecomplexmassivedatahasbecomethekeypointtoimprovetheefficiencyofthecasesdetectionandcaseshandling.First,theoutlineofthedata-miningtechnologyisdescribed.EmphasisisplacedontheresearchoftheAprioriAlgorithmandits
5、improvedalgorithms,whichisoneoftherepresentativesintheassociaterulemining.Second,theapplicationsoftheApriorialgorithmandk-meansclusteringalgorithmusingintheinformationanalysisisdiscussed,mainlyfortheirregularfatalnessbasedonthecrimeinformation.Th礬,abriefoverviewofthecriminal
6、informationsystem’Sdesignprinciples,systemstructure,themainfunctionmodulesandthemaindatabasetablesispresented.Fourth,A“irregularfatalnessbasedOnthecrimeinformationanalysissupportsystem'’isbuiltbasedonassociationrulesandclusteringanalysistechniques.Themaininterfacesofthesyste
7、mareintroduced.HowtousethesystemdatasetsandclusteranalysisofminingassociationrulesiSdescribedindetail.Andthenalltheminingassociationrulesandclusteringresultsareanalyzed.Thecomparisonofthetestresultsandtherealdatasetshasprovedtheeffectivenessofthedesignandimplementationofthe‘
8、‘irregularfatalnessbasedonthecrimeinformationanalysisIIIAbstractsupportsyst