RANKING QUERIES ON UNCERTAIN DATA by Ming Hua, Jian Pei ( 9781461428558 )

Item Details

Title:

RANKING QUERIES ON UNCERTAIN DATA

By:

Format:

Paperback

List price:	£123.00
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ISBN 10:

1461428556

ISBN 13:

9781461428558

Publisher:

SPRINGER-VERLAG NEW YORK INC.

Pub. date:

28 May, 2013

Edition:

2011 ed.

Series:

Advances in Database Systems 42

Pages:

224

Description:

With `uncertain' data present in numerous important applications such as market analysis and environmental surveillance, this text surveys the fundamental principles, key challenges, applications and evaluation algorithms of ranking queries on uncertain data.

Synopsis:

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.

Illustrations:

XVI, 224 p.

Publication:

Imprint:

Springer-Verlag New York Inc.

Returns:

Returnable

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