Incrementally Maintaining Classification using an RDBMS

Incrementally Maintaining Classification using an RDBMS

ID:40364162

大?。?.34 MB

頁數(shù):12頁

時間:2019-08-01

Incrementally Maintaining Classification using an RDBMS_第1頁
Incrementally Maintaining Classification using an RDBMS_第2頁
Incrementally Maintaining Classification using an RDBMS_第3頁
Incrementally Maintaining Classification using an RDBMS_第4頁
Incrementally Maintaining Classification using an RDBMS_第5頁
資源描述:

《Incrementally Maintaining Classification using an RDBMS》由會員上傳分享,免費在線閱讀,更多相關(guān)內(nèi)容在學(xué)術(shù)論文-天天文庫。

1、IncrementallyMaintainingClassi?cationusinganRDBMSM.LeventKocChristopherRe′UniversityofWisconsin-MadisonUniversityofWisconsin-Madisonkoc@cs.wisc.educhrisre@cs.wisc.eduABSTRACT(training)amodel(whichdependsonT)andthenusingthatmodeltolabeleachentityinE.Classi?cationiswidelyused,Theproli

2、ferationofimprecisedatahasmotivatedbothre-e.g.,inextractingstructurefromWebtext[12,27],indatasearchersandthedatabaseindustrytopushstatisticaltech-integration[13],andinbusinessintelligence[7,14,22].niquesintorelationaldatabasemanagementsystems(RDBM-Manyoftheseapplicationscenariosareh

3、ighlydynamic:Ses).Westudystrategiestomaintainmodel-basedviewsnewdataandupdatestothedataareconstantlyarriving.forapopularstatisticaltechnique,classi?cation,insideanForexample,aWebportalthatpublishesinformationforRDBMSinthepresenceofupdates(tothesetoftrainingtheresearchcommunity,itmus

4、tkeepupwiththenewpa-examples).Wemakethreetechnicalcontributions:(1)Apersthatareconstantlypublished,newconferencesthatstrategythatincrementallymaintainsclassi?cationinsideareconstantlyannounced,etc.SimilarproblemsarefacedanRDBMS.(2)AnanalysisoftheabovealgorithmthatbyservicessuchasTwi

5、tterorFacebookthathavelargeshowsthatouralgorithmisoptimalamongalldeterminis-amountsofusergeneratedcontent.Unfortunately,currentticalgorithms(andasymptoticallywithinafactorof2ofapproachestointegratingclassi?erswithanRDBMStreatanon-deterministicoptimalstrategy).(3)Anovelhybrid-classi?

6、ersasadataminingtool[22].Indataminingscenar-architecturebasedonthetechnicalideasthatunderlietheios,thegoalistobuildaclassi?cationmodelforananalyst,abovealgorithmwhichallowsustostoreonlyafractionofandsoclassi?cationisusedinabatch-orientedmanner;intheentitiesinmemory.Weapplyourtechniq

7、uestotextpro-contrast,intheabovescenarios,theclassi?cationtaskiscessing,andwedemonstratethatouralgorithmsprovideanintegratedintotherun-timeoperationoftheapplication.orderofmagnitudeimprovementovernon-incrementalap-AsmanyoftheseapplicationsareoftenbuiltonRDBM-proachestoclassi?cationo

8、navarietyofdatasets

當前文檔最多預(yù)覽五頁,下載文檔查看全文

此文檔下載收益歸作者所有

當前文檔最多預(yù)覽五頁,下載文檔查看全文
溫馨提示:
1. 部分包含數(shù)學(xué)公式或PPT動畫的文件,查看預(yù)覽時可能會顯示錯亂或異常,文件下載后無此問題,請放心下載。
2. 本文檔由用戶上傳,版權(quán)歸屬用戶,天天文庫負責整理代發(fā)布。如果您對本文檔版權(quán)有爭議請及時聯(lián)系客服。
3. 下載前請仔細閱讀文檔內(nèi)容,確認文檔內(nèi)容符合您的需求后進行下載,若出現(xiàn)內(nèi)容與標題不符可向本站投訴處理。
4. 下載文檔時可能由于網(wǎng)絡(luò)波動等原因無法下載或下載錯誤,付費完成后未能成功下載的用戶請聯(lián)系客服處理。