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Ranking Queries on Uncertain Data

, (Autoren)

Buch | Hardcover
224 Seiten
2011
Springer-Verlag New York Inc.
978-1-4419-9379-3 (ISBN)

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Ranking Queries on Uncertain Data - Ming Hua, Jian Pei
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Ranking Queries on Uncertain Data discusses the motivations/applications, challenging problems, the fundamental principles, and the evaluation algorithms of ranking queries on uncertain data. Ranking Queries on Uncertain Data is the first book to systematically discuss the problem of ranking queries on uncertain data.
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.

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

Erscheint lt. Verlag 12.4.2011
Reihe/Serie Advances in Database Systems ; 42
Zusatzinfo XVI, 224 p.
Verlagsort New York, NY
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Mathematik / Informatik Informatik Netzwerke
Informatik Weitere Themen Hardware
ISBN-10 1-4419-9379-7 / 1441993797
ISBN-13 978-1-4419-9379-3 / 9781441993793
Zustand Neuware
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