Ranking Queries on Uncertain Data - Couverture rigide

Livre 34 sur 42: Advances in Database Systems

Hua, Ming; Pei, Jian

 
9781441993793: 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.

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Autres éditions populaires du même titre

9781461428558: Ranking Queries on Uncertain Data

Edition présentée

ISBN 10 :  1461428556 ISBN 13 :  9781461428558
Editeur : Springer, 2013
Couverture souple