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» Efficient join processing over uncertain data
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159
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SIGMOD
2009
ACM
125views Database» more  SIGMOD 2009»
15 years 10 months ago
Top-k queries on uncertain data: on score distribution and typical answers
Uncertain data arises in a number of domains, including data integration and sensor networks. Top-k queries that rank results according to some user-defined score are an important...
Tingjian Ge, Stanley B. Zdonik, Samuel Madden
ICDE
2009
IEEE
214views Database» more  ICDE 2009»
15 years 11 months ago
Ranking with Uncertain Scores
Large databases with uncertain information are becoming more common in many applications including data integration, location tracking, and Web search. In these applications, ranki...
Mohamed A. Soliman, Ihab F. Ilyas
88
Voted
ICDE
2009
IEEE
155views Database» more  ICDE 2009»
15 years 4 months ago
Join Optimization of Information Extraction Output: Quality Matters!
— Information extraction (IE) systems are trained to extract specific relations from text databases. Real-world applications often require that the output of multiple IE systems...
Alpa Jain, Panagiotis G. Ipeirotis, AnHai Doan, Lu...
102
Voted
ECCV
2002
Springer
15 years 11 months ago
Visual Data Fusion for Objects Localization by Active Vision
Visual sensors provide exclusively uncertain and partial knowledge of a scene. In this article, we present a suitable scene knowledge representation that makes integration and fusi...
François Chaumette, Grégory Flandin
ICDE
2007
IEEE
162views Database» more  ICDE 2007»
15 years 11 months ago
On Density Based Transforms for Uncertain Data Mining
In spite of the great progress in the data mining field in recent years, the problem of missing and uncertain data has remained a great challenge for data mining algorithms. Many ...
Charu C. Aggarwal