Ming Hua

(Author)

Ranking Queries on Uncertain Data (2011)Hardcover - 2011, 12 April 2011

Ranking Queries on Uncertain Data (2011)
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Part of Series
Advances in Database Systems
Part of Series
Advances in Database Systems Advances in Database Systems
Print Length
224 pages
Language
English
Publisher
Springer
Date Published
12 Apr 2011
ISBN-10
1441993797
ISBN-13
9781441993793

Description

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.

Product Details

Authors:
Ming HuaJian Pei
Book Edition:
2011
Book Format:
Hardcover
Country of Origin:
NL
Date Published:
12 April 2011
Dimensions:
16.81 x 24.05 x 1.98 cm
Genre:
Science/Technology Aspects
ISBN-10:
1441993797
ISBN-13:
9781441993793
Language:
English
Location:
New York, NY
Pages:
224
Publisher:
Weight:
498.95 gm

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