學(xué)士學(xué)位論文基于web的文本分類(lèi)挖掘的研究

1、1論文編碼：論文編碼：TP181首都師范大學(xué)學(xué)士學(xué)位論文首都師范大學(xué)學(xué)士學(xué)位論文基于基于WebWeb的文本分類(lèi)挖掘的研究的文本分類(lèi)挖掘的研究院系信息工程學(xué)院信息工程學(xué)院專業(yè)計(jì)算機(jī)科學(xué)與技術(shù)系（師范）計(jì)算機(jī)科學(xué)與技術(shù)系（師范）年級(jí)2001學(xué)號(hào)1011000035指導(dǎo)老師指導(dǎo)老師論文作者論文作者完成日期完成日期2005年6月6日首都師范大學(xué)首都師范大學(xué)CapitalNmalUniversity第2頁(yè)共33頁(yè)ResearchResearcho

2、fofTextTextClassificationClassificationMiningMiningbasedbasedononWEBWEBABSTRACTInterhasbecomeagreatinfmationsource.ItisanimptantissuesfustoconfrontthathowtomaketheInterinfmationservepeoplebetterhowtoobtaintheinfmationqui

3、cklyaccurately.NowadaystheResearchofinfmationprocessingbasedonwebisahotspot.Thetextcategizationofwebhasbecamemeimptantthantheotherresearchofwebmining.ThetheeticaldevelopmentofdataminingWebminingtextclassificationareintro

4、ducedanalyzesthefeatureofWebdatacompareswiththeotherdatanaivebayesclassifier.Analyzessomearithmeticsoftextcategizationtheconcreteprocessoftheimprovementofarithmeticinnaivebayesclassifierareputemphasison.Thisthesistriesto

5、makeuseofHTMLtagstoimprovethearithmeticofnaivebayesclassifierwhosebugisitshypothesis.InthepracticeoftheclassifierthethesissummarizesthemethodwhichcanleachHTMLtagsthentriestousetheinfmationfromthetagsthetextcategizationar

6、ithmetictoclassifythetext.Finallytheprecisionoftheclassifierwhichhasbeenimprovedisnotidealsothenextcontentsofthissubjectaresummarizedsomeonesownviewsarealsopresented.XuYingDirectedbyLiuLizhenKeywdWebMiningNaveBayesDataMi