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» ProUD: Probabilistic Ranking in Uncertain Databases
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EDBT
2008
ACM
180views Database» more  EDBT 2008»
14 years 5 months ago
Probabilistic ranked queries in uncertain databases
Recently, many new applications, such as sensor data monitoring and mobile device tracking, raise up the issue of uncertain data management. Compared to "certain" data, ...
Xiang Lian, Lei Chen 0002
ICDE
2009
IEEE
170views Database» more  ICDE 2009»
14 years 7 months ago
Semantics of Ranking Queries for Probabilistic Data and Expected Ranks
Abstract-- When dealing with massive quantities of data, topk queries are a powerful technique for returning only the k most relevant tuples for inspection, based on a scoring func...
Graham Cormode, Feifei Li, Ke Yi
SIGMOD
2008
ACM
150views Database» more  SIGMOD 2008»
14 years 5 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
DASFAA
2009
IEEE
133views Database» more  DASFAA 2009»
14 years 9 days ago
Probabilistic Ranking in Uncertain Vector Spaces
Abstract. In many application domains, e.g. sensor databases, traffic management or recognition systems, objects have to be compared based on positionally and existentially uncert...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
14 years 7 months ago
Integrating and Ranking Uncertain Scientific Data
Mediator-based data integration systems resolve exploratory queries by joining data elements across sources. In the presence of uncertainties, such multiple expansions can quickly ...
Landon Detwiler, Wolfgang Gatterbauer, Brenton Lou...