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» Approximation algorithms for clustering uncertain data
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PVLDB
2010
134views more  PVLDB 2010»
13 years 6 months ago
Conditioning and Aggregating Uncertain Data Streams: Going Beyond Expectations
Uncertain data streams are increasingly common in real-world deployments and monitoring applications require the evaluation of complex queries on such streams. In this paper, we c...
Thanh T. L. Tran, Andrew McGregor, Yanlei Diao, Li...
ICDT
2009
ACM
166views Database» more  ICDT 2009»
14 years 8 months ago
A compositional framework for complex queries over uncertain data
The ability to flexibly compose confidence computation with the operations of relational algebra is an important feature of probabilistic database query languages. Computing confi...
Christoph Koch, Michaela Götz
SIGMOD
2008
ACM
150views Database» more  SIGMOD 2008»
14 years 7 months ago
Ranking queries on uncertain data: a probabilistic threshold approach
Uncertain 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 n...
Ming Hua, Jian Pei, Wenjie Zhang, Xuemin Lin
VLDB
2011
ACM
276views Database» more  VLDB 2011»
13 years 2 months ago
Ranking queries on uncertain data
Uncertain 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 n...
Ming Hua, Jian Pei, Xuemin Lin
ICDE
2011
IEEE
338views Database» more  ICDE 2011»
12 years 11 months ago
Outlier detection on uncertain data: Objects, instances, and inferences
—This paper studies the problem of outlier detection on uncertain data. We start with a comprehensive model considering both uncertain objects and their instances. An uncertain o...
Bin Jiang, Jian Pei