Ranking Queries on Uncertain Data

Uncertain data is inherent in many important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of those applications and rapidly increasing amounts of uncertain data collected and accumulated, analyzing large collections of...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Hua, Ming (Autor), Pei, Jian (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Advances in Database Systems ; 200
Temas:
Database management.
Data mining.
Application software.
Computer networks .
Database Management.
Data Mining and Knowledge Discovery.
Computer and Information Systems Applications.
Computer Communication Networks.
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Ranking Queries on Uncertain Data  |h [electronic resource] /  |c by Ming Hua, Jian Pei. 
250 |a 1st ed. 2011. 
264 1 |a New York, NY :  |b Springer New York :  |b Imprint: Springer,  |c 2011. 
300 |a XVI, 224 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Advances in Database Systems ;  |v 200 
505 0 |a Introduction -- Probabilistic Ranking Queries on Uncertain Data -- Related Work -- Top-k Typicality Queries on Uncertain Data -- Probabilistic Ranking Queries on Uncertain Data -- Continuous Ranking Queries on Uncertain Streams -- Ranking Queries on Probabilistic Linkages -- Probabilistic Path Queries on Road Networks -- Conclusions -- References. 
520 |a Uncertain data is inherent in many important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of those applications and rapidly increasing amounts of uncertain data collected and accumulated, analyzing large collections of uncertain data has become an important task. Ranking queries (also known as top-k queries) are often natural and useful in analyzing uncertain data. Ranking Queries on Uncertain Data discusses the motivations/applications, challenging problems, the fundamental principles, and the evaluation algorithms of ranking queries on uncertain data. Theoretical and algorithmic results of ranking queries on uncertain data are presented in the last section of this book. Ranking Queries on Uncertain Data is the first book to systematically discuss the problem of ranking queries on uncertain data. 
650 0 |a Database management. 
650 0 |a Data mining. 
650 0 |a Application software. 
650 0 |a Computer networks . 
650 1 4 |a Database Management. 
650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Computer and Information Systems Applications. 
650 2 4 |a Computer Communication Networks. 
700 1 |a Pei, Jian.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9781461428558 
776 0 8 |i Printed edition:  |z 9781441993793 
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830 0 |a Advances in Database Systems ;  |v 200 
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950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710) 

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