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ICDE
2005
IEEE
128views Database» more  ICDE 2005»
9 years 11 months ago
Exploiting Correlated Attributes in Acquisitional Query Processing
Sensor networks and other distributed information systems (such as the Web) must frequently access data that has a high per-attribute acquisition cost, in terms of energy, latency...
Amol Deshpande, Carlos Guestrin, Wei Hong, Samuel ...
CIKM
2010
Springer
8 years 8 months ago
Probabilistic ranking for relational databases based on correlations
This paper proposes a ranking method to exploit statistical correlations among pairs of attribute values in relational databases. For a given query, the correlations of the query ...
Jaehui Park, Sang-goo Lee
COLING
2008
8 years 11 months ago
Class-Driven Attribute Extraction
We report on the large-scale acquisition of class attributes with and without the use of lists of representative instances, as well as the discovery of unary attributes, such as t...
Benjamin Van Durme, Ting Qian, Lenhart Schubert
PVLDB
2010
123views more  PVLDB 2010»
8 years 8 months ago
Sharing-Aware Horizontal Partitioning for Exploiting Correlations During Query Processing
Optimization of join queries based on average selectivities is suboptimal in highly correlated databases. In such databases, relations are naturally divided into partitions, each ...
Kostas Tzoumas, Amol Deshpande, Christian S. Jense...
DEXA
2010
Springer
172views Database» more  DEXA 2010»
8 years 10 months ago
Ranking Objects Based on Attribute Value Correlation
There has been a great deal of interest in recent years on ranking query results in relational databases. This paper presents a novel method to rank objects (e.g., tuples) by explo...
Jaehui Park, Sang-goo Lee
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