{"title":"计算Skyline查询的一种新的渐进式方法","authors":"Zekri Lougmiri","doi":"10.4018/JITR.2017070101","DOIUrl":null,"url":null,"abstract":"Skylinequeriesareimportantinmanyfields,especiallyfordecisionmaking.Inthiscontext,objects ortuplesofdatabasesaredefinedaccordingtosomenumericalandnonnumericalattributes.The skylineoperatoractsonthenumericalones.Thealgorithmsthatimplementsthisskylineoperatorare genrallyofprogressiveornonprogressive.Theprogressiveonesreturntheskylineoperatorduringits executionwhilenonpreogressivealogrithmsreturntheresultattheendofitsexecution.Thispaper presentsanewprogressivealgorithmforcomputingtheskylinepoints.Thisalgorithmisbasedon sortingasapreprocessingoftheinput.Theauthorspresentnewtheoremsfordeducingpromptlythe firstskylinepointsandreducingthecandidatespace.AnewversionofDivide-and-Conqueralgorithm isusedforcomputingthefinalskyline.Intensiveexperimentationsonbothrealandsyntheticdatasets showthatouralgorithmpresentsbestperformancecomparativelytoothermethods. KeywoRdS BNL, Correlated Data, Divide and Conquer, Independent Data Anti-Correlated Data, Pareto Dominance, Preprocessing, Skyline, Skyline Operator, Sorting","PeriodicalId":43429,"journal":{"name":"Journal of Information Technology Research","volume":null,"pages":null},"PeriodicalIF":0.3000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4018/JITR.2017070101","citationCount":"2","resultStr":"{\"title\":\"A New Progressive Method for Computing Skyline Queries\",\"authors\":\"Zekri Lougmiri\",\"doi\":\"10.4018/JITR.2017070101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Skylinequeriesareimportantinmanyfields,especiallyfordecisionmaking.Inthiscontext,objects ortuplesofdatabasesaredefinedaccordingtosomenumericalandnonnumericalattributes.The skylineoperatoractsonthenumericalones.Thealgorithmsthatimplementsthisskylineoperatorare genrallyofprogressiveornonprogressive.Theprogressiveonesreturntheskylineoperatorduringits executionwhilenonpreogressivealogrithmsreturntheresultattheendofitsexecution.Thispaper presentsanewprogressivealgorithmforcomputingtheskylinepoints.Thisalgorithmisbasedon sortingasapreprocessingoftheinput.Theauthorspresentnewtheoremsfordeducingpromptlythe firstskylinepointsandreducingthecandidatespace.AnewversionofDivide-and-Conqueralgorithm isusedforcomputingthefinalskyline.Intensiveexperimentationsonbothrealandsyntheticdatasets showthatouralgorithmpresentsbestperformancecomparativelytoothermethods. KeywoRdS BNL, Correlated Data, Divide and Conquer, Independent Data Anti-Correlated Data, Pareto Dominance, Preprocessing, Skyline, Skyline Operator, Sorting\",\"PeriodicalId\":43429,\"journal\":{\"name\":\"Journal of Information Technology Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.4018/JITR.2017070101\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Information Technology Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/JITR.2017070101\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Information Technology Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/JITR.2017070101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 2
A New Progressive Method for Computing Skyline Queries
Skylinequeriesareimportantinmanyfields,especiallyfordecisionmaking.Inthiscontext,objects ortuplesofdatabasesaredefinedaccordingtosomenumericalandnonnumericalattributes.The skylineoperatoractsonthenumericalones.Thealgorithmsthatimplementsthisskylineoperatorare genrallyofprogressiveornonprogressive.Theprogressiveonesreturntheskylineoperatorduringits executionwhilenonpreogressivealogrithmsreturntheresultattheendofitsexecution.Thispaper presentsanewprogressivealgorithmforcomputingtheskylinepoints.Thisalgorithmisbasedon sortingasapreprocessingoftheinput.Theauthorspresentnewtheoremsfordeducingpromptlythe firstskylinepointsandreducingthecandidatespace.AnewversionofDivide-and-Conqueralgorithm isusedforcomputingthefinalskyline.Intensiveexperimentationsonbothrealandsyntheticdatasets showthatouralgorithmpresentsbestperformancecomparativelytoothermethods. KeywoRdS BNL, Correlated Data, Divide and Conquer, Independent Data Anti-Correlated Data, Pareto Dominance, Preprocessing, Skyline, Skyline Operator, Sorting
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