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![Stock image for Query Processing on Probabilistic Data: A Survey (Foundations and Trends® in Databases): 20 [Paperback] Van den Broeck, Guy and Suciu, Dan for sale by Hay-on-Wye Booksellers](https://pictures.abebooks.com/isbn/9781680833140-uk-300.jpg)
Query Processing on Probabilistic Data: A Survey (Foundations and Trends® in Databases): 20 [Paperback] Van den Broeck, Guy and Suciu, Dan
Seller: Hay-on-Wye Booksellers, Hay-on-Wye, HEREF, United Kingdom
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Condition: Very Good. Unused, some outer edges have minor scuffs, cover has light scratches, some outer pages have marks from shelf wear, book content is in like new condition.
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Probabilistic Databases
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Probabilistic Databases (Synthesis Lectures on Data Management)
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Probabilistic Databases
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Add to basketPaperback or Softback. Condition: New. Probabilistic Databases 0.72. Book.
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Probabilistic Databases
Published by Springer International Publishing, 2011
ISBN 10: 3031007514 ISBN 13: 9783031007514
Language: English
£ 32.83
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Probabilistic databases are databases where the value of some attributes or the presence of some records are uncertain and known only with some probability. Applications in many areas such as information extraction, RFID and scientific data management, data cleaning, data integration, and financial risk assessment produce large volumes of uncertain data, which are best modeled and processed by a probabilistic database. This book presents the state of the art in representation formalisms and query processing techniques for probabilistic data. It starts by discussing the basic principles for representing large probabilistic databases, by decomposing them into tuple-independent tables, block-independent-disjoint tables, or U-databases. Then it discusses two classes of techniques for query evaluation on probabilistic databases. In extensional query evaluation, the entire probabilistic inference can be pushed into the database engine and, therefore, processed as effectively as the evaluation of standard SQL queries. The relational queries that can be evaluated this way are called safe queries. In intensional query evaluation, the probabilistic inference is performed over a propositional formula called lineage expression: every relational query can be evaluated this way, but the data complexity dramatically depends on the query being evaluated, and can be #P-hard. The book also discusses some advanced topics in probabilistic data management such as top-k query processing, sequential probabilistic databases, indexing and materialized views, and Monte Carlo databases. Table of Contents: Overview / Data and Query Model / The Query Evaluation Problem / Extensional Query Evaluation / Intensional Query Evaluation / Advanced Techniques.
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Probabilistic Databases
Published by Springer International Publishing, Springer International Publishing Jun 2011, 2011
ISBN 10: 3031007514 ISBN 13: 9783031007514
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -Probabilistic databases are databases where the value of some attributes or the presence of some records are uncertain and known only with some probability. Applications in many areas such as information extraction, RFID and scientific data management, data cleaning, data integration, and financial risk assessment produce large volumes of uncertain data, which are best modeled and processed by a probabilistic database. This book presents the state of the art in representation formalisms and query processing techniques for probabilistic data. It starts by discussing the basic principles for representing large probabilistic databases, by decomposing them into tuple-independent tables, block-independent-disjoint tables, or U-databases. Then it discusses two classes of techniques for query evaluation on probabilistic databases. In extensional query evaluation, the entire probabilistic inference can be pushed into the database engine and, therefore, processed as effectively as the evaluation of standard SQL queries. The relational queries that can be evaluated this way are called safe queries. In intensional query evaluation, the probabilistic inference is performed over a propositional formula called lineage expression: every relational query can be evaluated this way, but the data complexity dramatically depends on the query being evaluated, and can be #P-hard. The book also discusses some advanced topics in probabilistic data management such as top-k query processing, sequential probabilistic databases, indexing and materialized views, and Monte Carlo databases. Table of Contents: Overview / Data and Query Model / The Query Evaluation Problem / Extensional Query Evaluation / Intensional Query Evaluation / Advanced TechniquesSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 184 pp. Englisch.
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Probabilistic Databases (Synthesis Lectures on Data Management, 16)
Published by Morgan & Claypool Publishers, 2011
ISBN 10: 1608456803 ISBN 13: 9781608456802
Language: English
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Query Processing on Probabilistic Data: A Survey (Foundations and Trends(r) in Databases)
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Probabilistic Databases
Published by Springer International Publishing Jun 2011, 2011
ISBN 10: 3031007514 ISBN 13: 9783031007514
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Probabilistic databases are databases where the value of some attributes or the presence of some records are uncertain and known only with some probability. Applications in many areas such as information extraction, RFID and scientific data management, data cleaning, data integration, and financial risk assessment produce large volumes of uncertain data, which are best modeled and processed by a probabilistic database. This book presents the state of the art in representation formalisms and query processing techniques for probabilistic data. It starts by discussing the basic principles for representing large probabilistic databases, by decomposing them into tuple-independent tables, block-independent-disjoint tables, or U-databases. Then it discusses two classes of techniques for query evaluation on probabilistic databases. In extensional query evaluation, the entire probabilistic inference can be pushed into the database engine and, therefore, processed as effectively as the evaluation of standard SQL queries. The relational queries that can be evaluated this way are called safe queries. In intensional query evaluation, the probabilistic inference is performed over a propositional formula called lineage expression: every relational query can be evaluated this way, but the data complexity dramatically depends on the query being evaluated, and can be #P-hard. The book also discusses some advanced topics in probabilistic data management such as top-k query processing, sequential probabilistic databases, indexing and materialized views, and Monte Carlo databases. Table of Contents: Overview / Data and Query Model / The Query Evaluation Problem / Extensional Query Evaluation / Intensional Query Evaluation / Advanced Techniques 184 pp. Englisch.
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Probabilistic Databases
Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2011
ISBN 10: 3031007514 ISBN 13: 9783031007514
Language: English
£ 30.18
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Probabilistic databases are databases where the value of some attributes or the presence of some records are uncertain and known only with some probability. Applications in many areas such as information extraction, RFID and scientific data management, data.
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Condition: New. Print on Demand pp. 162.
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Add to basketCondition: New. PRINT ON DEMAND pp. 162.
