Ranking queries on uncertain data

著者

    • Hua, Ming
    • Pei, Jian

書誌事項

Ranking queries on uncertain data

Ming Hua, Jian Pei

(Advances in database systems, v. 42)

Springer, c2011

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注記

Includes bibliographical references (p. 215-221)

内容説明・目次

内容説明

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.

目次

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

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