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Data Provenance in Economical Database Design
The data provenance describes the producing of data and evolves with the time. It has many application fields, such as evaluation of data quality, audit trail, replication recipes, data citation, etc. This paper emphasizes on describing about how data is generated and evolves with time going on, and...
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creator | Ding Hua Pan YunWen Xu XiaoLei |
description | The data provenance describes the producing of data and evolves with the time. It has many application fields, such as evaluation of data quality, audit trail, replication recipes, data citation, etc. This paper emphasizes on describing about how data is generated and evolves with time going on, and gives an example of Data Provenance in Economical Database Design to describe the application of data provenance in economic. The research efforts of uncertain data provenance to track the derivation of data and uncertainty are also summarized. Finally this paper lists applications of the data provenance, discusses the main challenges, and points out some research issues in future. |
doi_str_mv | 10.1109/CDCIEM.2011.370 |
format | conference_proceeding |
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It has many application fields, such as evaluation of data quality, audit trail, replication recipes, data citation, etc. This paper emphasizes on describing about how data is generated and evolves with time going on, and gives an example of Data Provenance in Economical Database Design to describe the application of data provenance in economic. The research efforts of uncertain data provenance to track the derivation of data and uncertainty are also summarized. Finally this paper lists applications of the data provenance, discusses the main challenges, and points out some research issues in future.</description><identifier>ISBN: 161284278X</identifier><identifier>ISBN: 9781612842783</identifier><identifier>EISBN: 0769543502</identifier><identifier>EISBN: 9780769543505</identifier><identifier>DOI: 10.1109/CDCIEM.2011.370</identifier><language>eng</language><publisher>IEEE</publisher><subject>Cities and towns ; data provenance ; data reserve ; Economics ; index system ; Indexes ; Investments ; Uncertainty</subject><ispartof>2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring, 2011, p.2428-2434</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5748313$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5748313$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ding Hua</creatorcontrib><creatorcontrib>Pan YunWen</creatorcontrib><creatorcontrib>Xu XiaoLei</creatorcontrib><title>Data Provenance in Economical Database Design</title><title>2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring</title><addtitle>cdciem</addtitle><description>The data provenance describes the producing of data and evolves with the time. It has many application fields, such as evaluation of data quality, audit trail, replication recipes, data citation, etc. This paper emphasizes on describing about how data is generated and evolves with time going on, and gives an example of Data Provenance in Economical Database Design to describe the application of data provenance in economic. The research efforts of uncertain data provenance to track the derivation of data and uncertainty are also summarized. Finally this paper lists applications of the data provenance, discusses the main challenges, and points out some research issues in future.</description><subject>Cities and towns</subject><subject>data provenance</subject><subject>data reserve</subject><subject>Economics</subject><subject>index system</subject><subject>Indexes</subject><subject>Investments</subject><subject>Uncertainty</subject><isbn>161284278X</isbn><isbn>9781612842783</isbn><isbn>0769543502</isbn><isbn>9780769543505</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotjL1OwzAURo0QEvRnZmDJCyTcazu-zoiSUCoV0aEDW3VtbpBRm6CkQuLtKYJvOcM5-pS6RSgQobqvm3rdPhcaEAtDcKFmQK4qrSlBX6oZOtTeavKv12o5TR9wnnO-AnOj8oZPnG3H4Ut67qNkqc_aOPTDMUU-ZL828CRZI1N67xfqquPDJMt_ztXusd3VT_nmZbWuHzZ5quCUWwICAYvBmRhKIsaSHYUQvRZ2HDuh4AitMxQsnuM3jwFCDGit74yZq7u_2yQi-88xHXn83pdkvUFjfgDnckFF</recordid><startdate>201102</startdate><enddate>201102</enddate><creator>Ding Hua</creator><creator>Pan YunWen</creator><creator>Xu XiaoLei</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201102</creationdate><title>Data Provenance in Economical Database Design</title><author>Ding Hua ; Pan YunWen ; Xu XiaoLei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-47070e041b63cb577a15a67bbc82ea6acfe7b6714637b41070d81b0bcb1448f33</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Cities and towns</topic><topic>data provenance</topic><topic>data reserve</topic><topic>Economics</topic><topic>index system</topic><topic>Indexes</topic><topic>Investments</topic><topic>Uncertainty</topic><toplevel>online_resources</toplevel><creatorcontrib>Ding Hua</creatorcontrib><creatorcontrib>Pan YunWen</creatorcontrib><creatorcontrib>Xu XiaoLei</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ding Hua</au><au>Pan YunWen</au><au>Xu XiaoLei</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Data Provenance in Economical Database Design</atitle><btitle>2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring</btitle><stitle>cdciem</stitle><date>2011-02</date><risdate>2011</risdate><spage>2428</spage><epage>2434</epage><pages>2428-2434</pages><isbn>161284278X</isbn><isbn>9781612842783</isbn><eisbn>0769543502</eisbn><eisbn>9780769543505</eisbn><abstract>The data provenance describes the producing of data and evolves with the time. It has many application fields, such as evaluation of data quality, audit trail, replication recipes, data citation, etc. This paper emphasizes on describing about how data is generated and evolves with time going on, and gives an example of Data Provenance in Economical Database Design to describe the application of data provenance in economic. The research efforts of uncertain data provenance to track the derivation of data and uncertainty are also summarized. Finally this paper lists applications of the data provenance, discusses the main challenges, and points out some research issues in future.</abstract><pub>IEEE</pub><doi>10.1109/CDCIEM.2011.370</doi><tpages>7</tpages></addata></record> |
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subjects | Cities and towns data provenance data reserve Economics index system Indexes Investments Uncertainty |
title | Data Provenance in Economical Database Design |
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