| 书目名称 | Ranking Queries on Uncertain Data |
| 编辑 | Ming Hua,Jian Pei |
| 视频video | |
| 概述 | Presents challenging problems, the fundamental principles, and the evaluation algorithms of ranking queries on uncertain data.Includes efficient and scalable query evaluation algorithms for the rankin |
| 丛书名称 | Advances in Database Systems |
| 图书封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2011 |
| 关键词 | Uncertain data; data sets; database model; empirical evaluation; probabilistic data; query processing; ran |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4419-9380-9 |
| isbn_softcover | 978-1-4614-2855-8 |
| isbn_ebook | 978-1-4419-9380-9Series ISSN 1386-2944 |
| issn_series | 1386-2944 |
| copyright | Springer Science+Business Media, LLC 2011 |
发表于 2025-3-21 17:45:48
