TY  - BOOK
AU  - Hua,Ming
AU  - Pei,Jian
ED  - SpringerLink (Online service)
TI  - Ranking Queries on Uncertain Data
T2  - Advances in Database Systems,
SN  - 9781441993809
AV  - QA76.9.D3 
U1  - 005.74 23
PY  - 2011///
CY  - New York, NY
PB  - Springer New York
KW  - Computer science
KW  - Information systems
KW  - Database management
KW  - Data mining
KW  - Computer Science
KW  - Database Management
KW  - Data Mining and Knowledge Discovery
KW  - Information Systems Applications (incl.Internet)
KW  - Information Systems and Communication Service
N1  - 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
N2  - 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
UR  - http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4419-9380-9
ER  -