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SIGMOD
2007
ACM
176views Database» more  SIGMOD 2007»
14 years 7 months ago
URank: formulation and efficient evaluation of top-k queries in uncertain databases
Top-k processing in uncertain databases is semantically and computationally different from traditional top-k processing. The interplay between query scores and data uncertainty ma...
Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen-Chua...
SIGMOD
2009
ACM
125views Database» more  SIGMOD 2009»
14 years 7 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
CIDM
2007
IEEE
13 years 11 months ago
An Efficient Distance Calculation Method for Uncertain Objects
Recently the academic communities have paid more attention to the queries and mining on uncertain data. In the tasks such as clustering or nearest-neighbor queries, expected distan...
Lurong Xiao, Edward Hung
PVLDB
2008
108views more  PVLDB 2008»
13 years 7 months ago
Sliding-window top-k queries on uncertain streams
Query processing on uncertain data streams has attracted a lot of attentions lately, due to the imprecise nature in the data generated from a variety of streaming applications, su...
Cheqing Jin, Ke Yi, Lei Chen 0002, Jeffrey Xu Yu, ...
DASFAA
2007
IEEE
208views Database» more  DASFAA 2007»
14 years 1 months ago
Probabilistic Nearest-Neighbor Query on Uncertain Objects
Nearest-neighbor queries are an important query type for commonly used feature databases. In many different application areas, e.g. sensor databases, location based services or fac...
Hans-Peter Kriegel, Peter Kunath, Matthias Renz