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SDM
2003
SIAM
129views Data Mining» more  SDM 2003»
13 years 10 months ago
Approximate Query Answering by Model Averaging
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...
Dmitry Pavlov, Padhraic Smyth
ICDE
2007
IEEE
173views Database» more  ICDE 2007»
14 years 10 months ago
Top-k Query Processing in Uncertain Databases
Top-k processing in uncertain databases is semantically and computationally different from traditional top-k processing. The interplay between score and uncertainty makes traditio...
Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen-Chua...
COOPIS
1999
IEEE
14 years 1 months ago
Selectively Materializing Data in Mediators by Analyzing User Queries
There is currently great interest in building information mediators that can integrate informationfrom multipledata sources such as databases or Web sources. The query response ti...
Naveen Ashish, Craig A. Knoblock, Cyrus Shahabi
CORR
2010
Springer
98views Education» more  CORR 2010»
13 years 9 months ago
Maximal Intersection Queries in Randomized Input Models
Consider a family of sets and a single set, called the query set. How can one quickly find a member of the family which has a maximal intersection with the query set? Time constra...
Benjamin Hoffmann, Mikhail Lifshits, Yury Lifshits...
SSD
2005
Springer
122views Database» more  SSD 2005»
14 years 2 months ago
Selectivity Estimation of High Dimensional Window Queries via Clustering
Abstract. Query optimization is an important functionality of modern database systems and often based on estimating the selectivity of queries before actually executing them. Well-...
Christian Böhm, Hans-Peter Kriegel, Peer Kr&o...