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dc.contributorDepartment of Computingen_US
dc.contributor.advisorYiu, Ken (COMP)en_US
dc.creatorYan, Haozhe-
dc.publisherHong Kong Polytechnic Universityen_US
dc.rightsAll rights reserveden_US
dc.titleApproximate processing and algorithms in SQL basic queryen_US
dcterms.abstractIn big databases, the approximated results could replace the accurate ones when high efficiency is required. The problem is called Approximate Query Processing (AQP) [10]. There are two major approaches: online aggregation and offline synopses generation. Online aggregation [5, 6] uses a smaller sample to represent the whole database while offline synopses generation, generate synopses offline based on prior knowledge. In this dissertation, we will improve the sample selection and combined the advantages of online aggregation with a new system called SDIS. The dissertation is divided into 4 sections. i). Introduction of problem, ii). Related work of current solution, iii). Our idea and SDIS system, iv). The results and conclusion.en_US
dcterms.extentvii, 42 pages : color illustrationsen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.educationalLevelAll Masteren_US
dcterms.LCSHDatabase managementen_US
dcterms.LCSHQuerying (Computer science)en_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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