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» Ranking queries on uncertain data
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SIGMOD
2003
ACM
145views Database» more  SIGMOD 2003»
14 years 7 months ago
Evaluating Probabilistic Queries over Imprecise Data
Many applications employ sensors for monitoring entities such as temperature and wind speed. A centralized database tracks these entities to enable query processing. Due to contin...
Reynold Cheng, Dmitri V. Kalashnikov, Sunil Prabha...
ICDE
2012
IEEE
277views Database» more  ICDE 2012»
11 years 10 months ago
Aggregate Query Answering on Possibilistic Data with Cardinality Constraints
— Uncertainties in data arise for a number of reasons: when the data set is incomplete, contains conflicting information or has been deliberately perturbed or coarsened to remov...
Graham Cormode, Divesh Srivastava, Entong Shen, Ti...
SIGIR
2011
ACM
12 years 10 months ago
Pseudo test collections for learning web search ranking functions
Test collections are the primary drivers of progress in information retrieval. They provide a yardstick for assessing the effectiveness of ranking functions in an automatic, rapi...
Nima Asadi, Donald Metzler, Tamer Elsayed, Jimmy L...
SIGMOD
2011
ACM
202views Database» more  SIGMOD 2011»
12 years 10 months ago
Sensitivity analysis and explanations for robust query evaluation in probabilistic databases
Probabilistic database systems have successfully established themselves as a tool for managing uncertain data. However, much of the research in this area has focused on efficient...
Bhargav Kanagal, Jian Li, Amol Deshpande
SIGIR
2005
ACM
14 years 1 months ago
Relevance weighting for query independent evidence
A query independent feature, relating perhaps to document content, linkage or usage, can be transformed into a static, per-document relevance weight for use in ranking. The challe...
Nick Craswell, Stephen E. Robertson, Hugo Zaragoza...