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» Evaluating Probabilistic Queries over Imprecise Data
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PPDP
2010
Springer
14 years 10 months ago
Deriving predicate statistics in datalog
Database query optimizers rely on data statistics in selecting query execution plans. Similar query optimization techniques are desirable for deductive databases and, to make this...
Senlin Liang, Michael Kifer
PKDD
1998
Springer
123views Data Mining» more  PKDD 1998»
15 years 4 months ago
Querying Inductive Databases: A Case Study on the MINE RULE Operator
Knowledge discovery in databases (KDD) is a process that can include steps like forming the data set, data transformations, discovery of patterns, searching for exceptions to a pat...
Jean-François Boulicaut, Mika Klemettinen, ...
AAAI
2012
13 years 2 months ago
An Object-Based Bayesian Framework for Top-Down Visual Attention
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
Ali Borji, Dicky N. Sihite, Laurent Itti
SSDBM
1999
IEEE
135views Database» more  SSDBM 1999»
15 years 4 months ago
Query Processing in the TAMBIS Bioinformatics Source Integration System
Conducting bioinformatic analyses involves biologists in expressing requests over a range of highly heterogeneous information sources and software tools. Such activities are labor...
Norman W. Paton, Robert Stevens, Patricia G. Baker...
IJIRR
2011
135views more  IJIRR 2011»
14 years 6 months ago
Query Recommendation for Improving Search Engine Results
— recently, search engines become more critical for finding information over the World Wide Web where web content growing fast, the user's satisfaction of search engine resu...
Hamada M. Zahera, Gamal F. El-Hady, W. F. Abd El-W...