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题名/责任者:

Ranking queries on uncertain data / Ming Hua [and] Jian Pei.

出版发行项:

New York : Springer, 2011.

ISBN:

9781441993809

ISBN:

1441993800

ISBN:

9781441993793

载体形态项:

xv, 221 pages : illustrations ; 25 cm.

丛编说明:

Advances in database systems, 1386-2944 ; v. 42

个人责任者:

Hua, Ming, author.

附加个人名称:

Pei, Jian, author.

论题主题:

Uncertainty (Information theory)

中图法分类号:

F0

一般附注:

Description based upon print version of record.

书目附注:

Includes bibliographical references.

摘要附注:

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.

语种附注:

English

豆瓣简介：