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» Semantic Optimization of Preference Queries
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KDD
2008
ACM
147views Data Mining» more  KDD 2008»
14 years 8 months ago
Structured learning for non-smooth ranking losses
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chir...
EDBT
2010
ACM
206views Database» more  EDBT 2010»
14 years 2 months ago
Efficient computation of trade-off skylines
When selecting alternatives from large amounts of data, trade-offs play a vital role in everyday decision making. In databases this is primarily reflected by the top-k retrieval p...
Christoph Lofi, Ulrich Güntzer, Wolf-Tilo Bal...
ICDE
2006
IEEE
138views Database» more  ICDE 2006»
14 years 9 months ago
SUBSKY: Efficient Computation of Skylines in Subspaces
Given a set of multi-dimensional points, the skyline contains the best points according to any preference function that is monotone on all axes. In practice, applications that req...
Yufei Tao, Xiaokui Xiao, Jian Pei
KDD
1995
ACM
140views Data Mining» more  KDD 1995»
13 years 11 months ago
Discovery and Maintenance of Functional Dependencies by Independencies
For semantic query optimization one needs detailed knowledgeabout the contents of the database. Traditional techniquesuse static knowledgeabout all possible states of the database...
Siegfried Bell
ICDE
2007
IEEE
167views Database» more  ICDE 2007»
14 years 2 months ago
Load Shedding for Window Joins on Multiple Data Streams
We consider the problem of semantic load shedding for continuous queries containing window joins on multiple data streams and propose a robust approach that is effective with the ...
Yan-Nei Law, Carlo Zaniolo