1、電子科技大學(xué)碩士學(xué)位論文分類算法分析及基于MinerOnWeb的設(shè)計(jì)和實(shí)現(xiàn)姓名：張春麗申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：計(jì)算機(jī)軟件與理論指導(dǎo)教師：章毅20090501ABSTRACTABSTRACTInrecentdecades，withthefastdevelopmentofcomputerhardwareandsoftware，especiallythegreatadvanceininteracttechniques，thedatawhich

2、peoplehaveaccumulatedisnowincreasingveryfastThus，datamininghasbecometheresearchhotspotClassification，asonemethodofdatamining，hasacquiredmoreandmoreconcernsbecauseofitsextensiveusageThisthesisfocusonseveralproblemsinclass

3、ificationalgorithmItcomposedofthreeparts：Themethodofclassificationmodelapplications，modelvisualizationandtheimprovedID3Algorithm1)Themethodofclassificationmodelapplications：Thetaskofclassificationistopredicttheclassofnew

4、databyusingthesummarizedrulesfromtrainingdataHoweverinthisprocess，thereexistsomedifficulties，forexample，therulesmaybeintricate，oritishardtomakeuseofthebigrules，although，theserulesareeasytounderstandForaboveproblems，thist

5、hesispresentsaclassificationmodelapplicationsystem，whichisdesignedandimplementedontheMinerOnWebdataminingsystemUnderthissystem，peoplecanusetheruleseasilyeventheycan’tcomprehendtherulesThemodelapplicationsystemcontainsfou

6、rprocesses：modelextraction，modelstorage，modelcomparison，modelapplication2)Modelvisualization：ThevisualizationtechnologycanhelppeopleunderstandmodelstructureandtheresultsofmodelapplicationeasilyItisusedinthemodelapplicati

7、onstageinthispaperFurthermorethemodelvisualizationandmodelapplicationresultsvisualizationaredesignedandimplementedintheMinerOnWebdataminingsystem3)TheimprovedID3algorithm：ID3algorithmisadecisiontreealgorithm，whichisimpor

8、tantinthefieldofmachinelearningTheconceptofinformationgainisproposedbyQuinlaninID3algorithmInformationgainistheselectioncriteriaofthebestsplittingattributeforinducingdecisiontreeNevertheless，thisalgorithmhassomedrawbacks