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1、分類號(hào)TP301.6學(xué)號(hào)14063007UDC密級(jí)公開工學(xué)碩士學(xué)位論文面向大規(guī)模不平衡數(shù)據(jù)的支持向量機(jī)算法研究碩士生姓名董曉寧學(xué)科專業(yè)計(jì)算機(jī)科學(xué)與技術(shù)研究方向機(jī)器學(xué)習(xí)指導(dǎo)教師彭宇行研究員國(guó)防科學(xué)技術(shù)大學(xué)研究生院二〇一六年十一月ResearchonSupportVectorMachineforLargeScaleImbalancedDataCandidate:DongXiaoningAdvisor:ProfessorPengYuxingAdissertationSubmittedinpartialfulfillmentoftherequirementsforthedegreeofMa
2、sterofEngineeringinComputerScienceandTechnologyGraduateSchoolofNationalUniversityofDefenseTechnologyChangsha,Hunan,P.R.ChinaNovember,2016國(guó)防科學(xué)技術(shù)大學(xué)研究生院碩士學(xué)位論文目錄摘要........................................................................................................................iABSTRACT......
3、.........................................................................................................iii第一章緒論............................................................................................................11.1研究背景.................................................................
4、..................................11.1.1大數(shù)據(jù)分析技術(shù)............................................................................11.1.2不平衡數(shù)據(jù)分類............................................................................21.2問題與挑戰(zhàn).........................................................................
5、......................31.3本文的研究工作.......................................................................................61.4論文結(jié)構(gòu)...................................................................................................7第二章相關(guān)研究...........................................................
6、.........................................92.1支持向量機(jī)介紹.......................................................................................92.2不平衡數(shù)據(jù)分類研究現(xiàn)狀.......................................................................112.2.1重采樣方法.........................................................
7、...........................112.2.2代價(jià)敏感學(xué)習(xí)方法........................................................................142.2.3組合學(xué)習(xí)方法................................................................................152.3分布式分類算法研究現(xiàn)狀.............
