Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Computing | en_US |
| dc.contributor.advisor | Yiu, Ken (COMP) | en_US |
| dc.creator | Yan, Haozhe | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/11379 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | en_US |
| dc.rights | All rights reserved | en_US |
| dc.title | Approximate processing and algorithms in SQL basic query | en_US |
| dcterms.abstract | In 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.extent | vii, 42 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2021 | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.LCSH | Database management | en_US |
| dcterms.LCSH | Querying (Computer science) | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 5865.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 1.01 MB | Adobe PDF | View/Open |
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