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1、基于聚類模式的數(shù)據(jù)清洗技術(shù)廣西師范大學(xué)碩士研究生論文基于聚類模式的數(shù)據(jù)清洗技術(shù)TowardsData-Mining:DataCleaningBasedonClusteringTechniques院系:數(shù)學(xué)與計(jì)算機(jī)科學(xué)學(xué)院年級:2000級專業(yè):計(jì)算機(jī)軟件與理論研究方向:現(xiàn)代數(shù)據(jù)庫導(dǎo)師:張師超教授、嚴(yán)小衛(wèi)教授研究生:唐懿芳完成時(shí)間:2003年4月1基于聚類模式的數(shù)據(jù)清洗技術(shù)TowardsData-Mining:DataCleaningBasedonClusteringTechniquesByTangyifangAthesisSubmittedinpar
2、tialsatisfactionof
therequirementsforthedegreeofMasterofScienceAcademyofMathematicsandComputerScienceGuangxiNormalUniversityApril20032基于聚類模式的數(shù)據(jù)清洗技術(shù)目錄摘要..................................................5ABSTRACT.................................................7目錄...............
3、...................................3第一章緒論.............................................11.1引言........................................................11.2數(shù)據(jù)清洗研究的主要領(lǐng)域......................................21.2.1數(shù)據(jù)倉庫中的數(shù)據(jù)清洗.....................................21.2.2知識(shí)發(fā)現(xiàn)過程中的數(shù)據(jù)清洗.....
4、............................41.2.3數(shù)據(jù)質(zhì)量管理系統(tǒng)中的數(shù)據(jù)清洗.............................41.3數(shù)據(jù)清洗研究的現(xiàn)狀..........................................41.3.1當(dāng)前糾正數(shù)據(jù)錯(cuò)誤的研究狀況...............................41.3.2數(shù)據(jù)清洗中數(shù)據(jù)源整合的相關(guān)工作...........................61.4當(dāng)前數(shù)據(jù)清洗方法存在的問題..............................
5、....61.5本文的研究內(nèi)容及組織結(jié)構(gòu)....................................71.5.1研究內(nèi)容................................................71.5.2論文內(nèi)容安排............................................8第二章數(shù)據(jù)清洗前的預(yù)處理...................................92.1引言.....................................................
6、...92.2清除臟數(shù)據(jù)和標(biāo)準(zhǔn)化簡寫......................................92.2.1清除臟數(shù)據(jù).............................................102.2.2縮寫標(biāo)準(zhǔn)化的處理.......................................122.3數(shù)據(jù)的轉(zhuǎn)換.................................................132.4小結(jié).............................................
7、..........14第三章基于聚類的多數(shù)據(jù)表記錄匹配算法........................153基于聚類模式的數(shù)據(jù)清洗技術(shù)1.1引言.......................................................151.2鍵值的選取.................................................161.3記錄的匹配算法.............................................171.2.1記錄匹配的相關(guān)工作...............
8、.......................181.2.2所用的聚類技術(shù)........................