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SIGMOD
2007
ACM
176views Database» more  SIGMOD 2007»
14 years 10 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...
ICDE
2008
IEEE
152views Database» more  ICDE 2008»
14 years 4 months ago
Automated generation of object summaries from relational databases: A novel keyword searching paradigm
— This paper introduces a novel keyword searching paradigm in Relational Databases (DBs), where the result of a search is a ranked set of Object Summaries (OSs). An OS summarizes...
Georgios John Fakas
SDM
2010
SIAM
146views Data Mining» more  SDM 2010»
13 years 11 months ago
Evaluating Query Result Significance in Databases via Randomizations
Many sorts of structured data are commonly stored in a multi-relational format of interrelated tables. Under this relational model, exploratory data analysis can be done by using ...
Markus Ojala, Gemma C. Garriga, Aristides Gionis, ...
DEXAW
2010
IEEE
166views Database» more  DEXAW 2010»
13 years 11 months ago
Thesaurus Based Term Ranking for Keyword Extraction
In many cases keywords from a restricted set of possible keywords have to be assigned to texts. A common way to find the best keywords is to rank terms occurring in the text accord...
Luit Gazendam, Christian Wartena, Rogier Brussee
CORR
2000
Springer
120views Education» more  CORR 2000»
13 years 9 months ago
Scaling Up Inductive Logic Programming by Learning from Interpretations
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart ...