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AlgorithmsforBigDataDr.SiqiChenAssociateProfessorSchoolofSoftwareTianjinUni.LecturerSiqiChen(陈锶奇）AssociateProfessoratSchoolofSoftware,TianjinUniversityOffice:55-A319Email:siqi.chen09@gmail.comLectureHoursLectures:Thu19:30–21:45,Room55-A210Officehours:Wed3:00-5:00pm,Room55-A319ReferenceBooks•Leskovec,Rajaraman,andUllman.MiningofMassiveDatasets.CambridgeUniversity•Tan,SteinbachandKumar.IntroductiontoDataMining,AddisonWelsey,2006•FriedmanJ,HastieT,TibshiraniR.Theelementsofstatisticallearning.Springer,Berlin:Springerseriesinstatistics,2001.CourseObjectiveToprovideafundamentalunderstandingofbasicdataminingtechniquesforbigdataTodiscussthestrengthandweaknessofdifferenttechniquesToIntroducethewholebigdataminingprocessTopresentsomeapplicationofbigdataminingtechniquestoreal-worldandresearchproblems.CourseContentsContentClassificationI-Linearclassifier,NaiveBayes,k-nnClassificationII-TreesDataGovernanceDescriptivemodelsI-AssociationRuleDescriptiveModesII-ClusteringRegression(linear,Logistic,Ridge)CourseAssessment•PartI:GroupPresentation(60%)Eachpersonpresentsonetopicatonelecture•PartIIGroupProject(40%)FivepersonspergroupProposeyourownsolutionusingdataminingtechniquestoimprovethecurrentstateoftheartWriteatechnicalReportPresentyourideaPresentationDate:Jan3th,2019(firm)***ReportDeadline:Jan10th,2019(tentative)CourseAssessmentIntheprojectreportyoushouldinclude:1.TitleandAbstract2.Introduction(background,motivation,contribution)3.Relatedwork4.Negotiationframeworkandyourproposedsolution5.Experimentalresults6.ConclusionCourseAssessmentInthefinalprojectpresentationyoushould,1.Introduceyourmotivation2.Explainyournegotiationframework3.Explainyourproposedsolution4.Showyourexperimentalresults5.ConclusionHonestyinAcademicworks•Attentionisdrawntouniversitypolicyandregulationonhonestyinacademicworks,andtothedisciplinaryguidelinesandproceduresapplicabletoanybreachesofsuchpolicyandregulations.Detailsmaybefoundathttp://gs.tju.edu.cn/filtable/w07.htm•What...