Advances in Database Systems

Ranking Queries on Uncertain Data

Authors: Hua, Ming, Pei, Jian

  • Presents challenging problems, the fundamental principles, and the evaluation algorithms of ranking queries on uncertain data
  • Includes efficient and scalable query evaluation algorithms for the ranking queries
  • Covers a comprehensive empirical evaluation of the queries
  • The first book to systematically discuss the problem of ranking queries on uncertain data
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eBook $119.00
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  • ISBN 978-1-4419-9380-9
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Hardcover $159.00
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  • ISBN 978-1-4419-9379-3
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Softcover $159.00
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About this book

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.

Table of contents (9 chapters)

Buy this book

eBook $119.00
price for USA
  • ISBN 978-1-4419-9380-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $159.00
price for USA
  • ISBN 978-1-4419-9379-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.00
price for USA
  • ISBN 978-1-4614-2855-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Ranking Queries on Uncertain Data
Authors
Series Title
Advances in Database Systems
Series Volume
42
Copyright
2011
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4419-9380-9
DOI
10.1007/978-1-4419-9380-9
Hardcover ISBN
978-1-4419-9379-3
Softcover ISBN
978-1-4614-2855-8
Series ISSN
1386-2944
Edition Number
1
Number of Pages
XVI, 224
Topics