Probabilistic Databases (Record no. 84615)
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fixed length control field | 03999nam a22005295i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-031-01879-4 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240730163439.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 220601s2011 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783031018794 |
-- | 978-3-031-01879-4 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 004.6 |
100 1# - AUTHOR NAME | |
Author | Suciu, Dan. |
245 10 - TITLE STATEMENT | |
Title | Probabilistic Databases |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2011. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XV, 164 p. |
490 1# - SERIES STATEMENT | |
Series statement | Synthesis Lectures on Data Management, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Overview -- Data and Query Model -- The Query Evaluation Problem -- Extensional Query Evaluation -- Intensional Query Evaluation -- Advanced Techniques. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
700 1# - AUTHOR 2 | |
Author 2 | Olteanu, Dan. |
700 1# - AUTHOR 2 | |
Author 2 | Re, Christopher. |
700 1# - AUTHOR 2 | |
Author 2 | Koch, Christoph. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-01879-4 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cham : |
-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2011. |
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-- | text |
-- | txt |
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-- | computer |
-- | c |
-- | rdamedia |
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-- | online resource |
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347 ## - | |
-- | text file |
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-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer networks . |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data structures (Computer science). |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Information theory. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer Communication Networks. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data Structures and Information Theory. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2153-5426 |
912 ## - | |
-- | ZDB-2-SXSC |
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