A probabilistic relational data model
It is often desirable to represent in a database entities whose properties cannot be deterministically classified. We develop a new data model that includes probabilities associated with the values of the attributes. The notion of missing probabilities is introduced for partially specified probabili...
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creator | Barbara, Daniel Garcia-Molina, Hector Porter, Daryl |
description | It is often desirable to represent in a database entities whose properties cannot be deterministically classified. We develop a new data model that includes probabilities associated with the values of the attributes. The notion of missing probabilities is introduced for partially specified probability distributions. This new model offers a richer descriptive language allowing the database to reflect more accurately the uncertain real world. Probabilistic analogs to the basic relational operators are defined and their correctness is studied. |
doi_str_mv | 10.1007/BFb0022164 |
format | Conference Proceeding |
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We develop a new data model that includes probabilities associated with the values of the attributes. The notion of missing probabilities is introduced for partially specified probability distributions. This new model offers a richer descriptive language allowing the database to reflect more accurately the uncertain real world. Probabilistic analogs to the basic relational operators are defined and their correctness is studied.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 3540522913</identifier><identifier>ISBN: 9783540522911</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 3540469486</identifier><identifier>EISBN: 9783540469483</identifier><identifier>DOI: 10.1007/BFb0022164</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Applied sciences ; Computer science; control theory; systems ; Deterministic Attribute ; Deterministic Relation ; Exact sciences and technology ; Incomplete Information ; Information systems. Data bases ; Memory organisation. Data processing ; Probability Distribution Function ; Relational Database ; Software</subject><ispartof>Advances in Database Technology — EDBT '90, 2005, Vol.416, p.60-74</ispartof><rights>Springer-Verlag Berlin Heidelberg 1990</rights><rights>1990 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c258t-cf0cdf6fd93a8c3ec4834dd28ce3913da89d43bd162596eaf5ae2beecd01b8013</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/BFb0022164$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/BFb0022164$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>309,310,779,780,784,793,4048,4049,25139,27924,38254,41441,42510</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=6866375$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><contributor>Thanos, Constantino</contributor><contributor>Bancilhon, François</contributor><contributor>Tsichritzis, Dennis</contributor><creatorcontrib>Barbara, Daniel</creatorcontrib><creatorcontrib>Garcia-Molina, Hector</creatorcontrib><creatorcontrib>Porter, Daryl</creatorcontrib><title>A probabilistic relational data model</title><title>Advances in Database Technology — EDBT '90</title><description>It is often desirable to represent in a database entities whose properties cannot be deterministically classified. We develop a new data model that includes probabilities associated with the values of the attributes. The notion of missing probabilities is introduced for partially specified probability distributions. This new model offers a richer descriptive language allowing the database to reflect more accurately the uncertain real world. Probabilistic analogs to the basic relational operators are defined and their correctness is studied.</description><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Deterministic Attribute</subject><subject>Deterministic Relation</subject><subject>Exact sciences and technology</subject><subject>Incomplete Information</subject><subject>Information systems. Data bases</subject><subject>Memory organisation. Data processing</subject><subject>Probability Distribution Function</subject><subject>Relational Database</subject><subject>Software</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>3540522913</isbn><isbn>9783540522911</isbn><isbn>3540469486</isbn><isbn>9783540469483</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNpFkLtOxDAURM1LIrvQ8AUpQKIJXPs6jl0uKxaQVqKB2rp-BAWySRSn4e8JChLVFHNmNBrGrjjccYDq_mHnAITgSh6xFZYSpDJSq2OWccV5gSjNyWKUQhiOpywDBFGYSuI5W6X0CXO-MiJjN5t8GHtHrmmbNDU-H2NLU9N31OaBJsoPfYjtBTurqU3x8k_X7H33-LZ9LvavTy_bzb7wotRT4WvwoVZ1MEjaY_RSowxBaB9xnhFImyDRBa5EaVSkuqQoXIw-AHcaOK7Z9dI7UPLU1iN1vkl2GJsDjd9WaaWwKmfsdsHS7HQfcbSu77-S5WB__7H__-APuIlSqg</recordid><startdate>20050617</startdate><enddate>20050617</enddate><creator>Barbara, Daniel</creator><creator>Garcia-Molina, Hector</creator><creator>Porter, Daryl</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>20050617</creationdate><title>A probabilistic relational data model</title><author>Barbara, Daniel ; Garcia-Molina, Hector ; Porter, Daryl</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c258t-cf0cdf6fd93a8c3ec4834dd28ce3913da89d43bd162596eaf5ae2beecd01b8013</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Applied sciences</topic><topic>Computer science; control theory; systems</topic><topic>Deterministic Attribute</topic><topic>Deterministic Relation</topic><topic>Exact sciences and technology</topic><topic>Incomplete Information</topic><topic>Information systems. Data bases</topic><topic>Memory organisation. Data processing</topic><topic>Probability Distribution Function</topic><topic>Relational Database</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Barbara, Daniel</creatorcontrib><creatorcontrib>Garcia-Molina, Hector</creatorcontrib><creatorcontrib>Porter, Daryl</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Barbara, Daniel</au><au>Garcia-Molina, Hector</au><au>Porter, Daryl</au><au>Thanos, Constantino</au><au>Bancilhon, François</au><au>Tsichritzis, Dennis</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A probabilistic relational data model</atitle><btitle>Advances in Database Technology — EDBT '90</btitle><date>2005-06-17</date><risdate>2005</risdate><volume>416</volume><spage>60</spage><epage>74</epage><pages>60-74</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>3540522913</isbn><isbn>9783540522911</isbn><eisbn>3540469486</eisbn><eisbn>9783540469483</eisbn><abstract>It is often desirable to represent in a database entities whose properties cannot be deterministically classified. We develop a new data model that includes probabilities associated with the values of the attributes. The notion of missing probabilities is introduced for partially specified probability distributions. This new model offers a richer descriptive language allowing the database to reflect more accurately the uncertain real world. Probabilistic analogs to the basic relational operators are defined and their correctness is studied.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/BFb0022164</doi><tpages>15</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0302-9743 |
ispartof | Advances in Database Technology — EDBT '90, 2005, Vol.416, p.60-74 |
issn | 0302-9743 1611-3349 |
language | eng |
recordid | cdi_springer_books_10_1007_BFb0022164 |
source | Springer Books |
subjects | Applied sciences Computer science control theory systems Deterministic Attribute Deterministic Relation Exact sciences and technology Incomplete Information Information systems. Data bases Memory organisation. Data processing Probability Distribution Function Relational Database Software |
title | A probabilistic relational data model |
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