面向电子政务的多维数据挖掘研究

《面向电子政务的多维数据挖掘研究》由会员上传分享，免费在线阅读，更多相关内容在学术论文-天天文库。

1、华南理工大学硕士学位论文面向电子政务的多维数据挖掘研究姓名：隋静婵申请学位级别：硕士专业：机械设计及理论指导教师：刘就女20040425华南理丁大学工学硕士论文AbstractWiththewaveofurbaninformation，e-governmentand“digitalcity’’projectbuildsupmanydatabasewhichusedindailygovernmentoperationandpublicinformationservice．Thiskindofdatabaseincludesnon—spatialinformat

2、ionandspatialinformation，Bynow，thegreateffectondatabaseusinghasnotbeenseen．MostutilizationofthedataistOqueryinginformationorsummingrecords．OnlythiswaytousingthedatacannothelpUStofindtherelationshipsandrulesindata，andcannothelpUStopredictfuturetrendsbytoday’Sdata．Wecannotprovidehelp

3、fuldecisionsupportingforurbanplanningandcitymanagement，thuswegetthephenomenawhichcalled‘informationexplodingandknowledgelacking’．Fromtheviewpointofdataminingandspatialinformationdatamining，wecanmakefusionofcensusdatawithfoundationurbangeographicinformationandotherthematicinformatio

4、nofe—government．Furthermore．wecanvisualizetheresultofdatamining．So，thisresearchaspecthasimportantacademicvalueandapplicationvalue，ThispaperputupakindofschematOexecutingdataminingincensusstatisticalinformationsystembasedone—government．Webuildupthedatawarehouseanddatamodelfordatamini

5、ng，anddosometestsaboutdataslice．Afterthis，wegivethealgorithmbasedonclassificationrulesofconcepthierarchy．Thetechnologyofinductionbasedonattributingisdescribed．Andtheresultofalgorithmexperimentoncensusstatisticalinformationsystemshowsthismethodcanefficientlygenerateadecisiontreewith

6、beforehandknowledge．Thisalgorithmimprovesthetraditionalgeneralizationalgorithm．Therulescomesfromthisalgorithmismoresimpleandbetterforunderstanding．Consideringthecensusdatacorrelatingwiththespatialposition，dataminingalgorithmbasedonattributesinformationcannotgettheproperknowledge．So

7、，weadvanceaframeworkaboutspatialinformationdataminingine-governmentfield．Thisframeworkhasconsiderationofspatialdata’Scharacteristicandthedatarelationshipofspatialdataandattributesdata．Thisfameworkintegratesmanyspatialdataminingmethodsandprovidesausermutualinterfaceandknowledgecontr

8、01．Weputadensitybasedspati