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» Ranked Query Processing in Uncertain Databases
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SIGMOD
2008
ACM
115views Database» more  SIGMOD 2008»
14 years 5 months ago
Query answering techniques on uncertain and probabilistic data: tutorial summary
Uncertain data are inherent in some important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of thos...
Jian Pei, Ming Hua, Yufei Tao, Xuemin Lin
ICDE
2009
IEEE
214views Database» more  ICDE 2009»
14 years 7 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
EDBT
2009
ACM
115views Database» more  EDBT 2009»
14 years 3 days ago
Top-k dominating queries in uncertain databases
Due to the existence of uncertain data in a wide spectrum of real applications, uncertain query processing has become increasingly important, which dramatically differs from handl...
Xiang Lian, Lei Chen 0002
SIGMOD
2009
ACM
125views Database» more  SIGMOD 2009»
14 years 5 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
SSDBM
2008
IEEE
107views Database» more  SSDBM 2008»
13 years 11 months ago
ProUD: Probabilistic Ranking in Uncertain Databases
There are a lot of application domains, e.g. sensor databases, traffic management or recognition systems, where objects have to be compared based on vague and uncertain data. Feat...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...