基于數(shù)據(jù)挖掘技術的數(shù)據(jù)可視化分析的研究與實現(xiàn).pdf

1、哈爾濱理工大學碩士學位論文基于數(shù)據(jù)挖掘技術的數(shù)據(jù)可視化分析的研究與實現(xiàn)姓名：張秋俠申請學位級別：碩士專業(yè)：計算機應用技術指導教師：劉勝輝20040301哈爾濱理工大學工學碩士學位論文ResearchandImplementationofDataVisualizationAnalysisbasedonDataMiningAbstractWiththedevelopmentofdatabasetechnologyandthepopulari

2、zationofdataapplicationthequantityofdatapeoplehaveaccumulatedisgrowingrapidlyanddatathatisstoredincomputerisbeinghugerandhugerincreasingly.Peoplewanttoanalyzethedatasotheycanobtainknowledgeorinformationinsteadofjustmanag

3、ingthem.Soinfacingofchallengeof“Muchdatabutlitleinformation“therecomeDataMining(DM)andKnowledgeDiscoveryinDatabase(KDD).InrecentyearspeoplehavedonemuchresearchworkintheoryandmethodofDMandhavedevelopedvariouskindofDMtools

4、basedonit.Butthesetoolshaventmetthedemandofpeopleindealingwithlargescalesetofdata.ThereforepeoplebegintotryvisualizationtechnologyinDM.Theydirectlyexpressdatawithabundantvisualizationmethodandatthesametimecombineperceive

5、abilitypeculiarlyhumanbeinghavetohelpmakedecisionandanalysis.InthispaperweputforwardconceptandimplementationmethodofDataVisualizationanalysisbasedonDM.ThemethodusesDMtechnologytoselecttoanalyzeandtopredictdataandusesdata

6、visualizationtechnologytoshowdatachart.Thekeyquestionsaredatabaseconnectiondataselectionanddatavisualization.WegivetheframeofthesystemanddiscusstheconceptofDMandarithmeticaboutRecursivePredictcombinedwithitsdesigntarget.

7、Inthispaperwealsoproposedthedesigningandimplementationofthedatavisualizationsystem.ThesystemisasuccessfulapplicationforDManddatavisualizationonWeb.Itnotonlyoffersanimportantanalysiswaybutalsobuildsausefulsampleforcombini