Efficient Approximation of Certain and Possible Answers for Ranking and Window Queries over Uncertain Data
Abstract
References
Recommendations
Ranking queries on uncertain data
Uncertain data is inherent in a few important applications. It is far from trivial to extend ranking queries (also known as top-k queries), a popular type of queries on certain data, to uncertain data. In this paper, we cast ranking queries on uncertain ...
Probabilistic inverse ranking queries in uncertain databases
Query processing in the uncertain database has become increasingly important due to the wide existence of uncertain data in many real applications. Different from handling precise data, the uncertain query processing needs to consider the data ...
Ranking queries on uncertain data: a probabilistic threshold approach
SIGMOD '08: Proceedings of the 2008 ACM SIGMOD international conference on Management of dataUncertain data is inherent in a few important applications such as environmental surveillance and mobile object tracking. Top-k queries (also known as ranking queries) are often natural and useful in analyzing uncertain data in those applications. In ...
Comments
Information & Contributors
Information
Published In
Publisher
VLDB Endowment
Publication History
Check for updates
Badges
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 44Total Downloads
- Downloads (Last 12 months)29
- Downloads (Last 6 weeks)3
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in