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» Estimating query performance using class predictions
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ASPLOS
2009
ACM
16 years 3 months ago
Dynamic prediction of collection yield for managed runtimes
The growth in complexity of modern systems makes it increasingly difficult to extract high-performance. The software stacks for such systems typically consist of multiple layers a...
Michal Wegiel, Chandra Krintz
ICDE
2005
IEEE
128views Database» more  ICDE 2005»
16 years 4 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 ...
SIGMOD
2003
ACM
136views Database» more  SIGMOD 2003»
16 years 3 months ago
A Characterization of the Sensitivity of Query Optimization to Storage Access Cost Parameters
Most relational query optimizers make use of information about the costs of accessing tuples and data structures on various storage devices. This information can at times be off b...
Frederick Reiss, Tapas Kanungo
CIKM
2007
Springer
15 years 9 months ago
Expertise drift and query expansion in expert search
Pseudo-relevance feedback, or query expansion, has been shown to improve retrieval performance in the adhoc retrieval task. In such a scenario, a few top-ranked documents are assu...
Craig Macdonald, Iadh Ounis
RECOMB
2007
Springer
16 years 3 months ago
QNet: A Tool for Querying Protein Interaction Networks
Molecular interaction databases can be used to study the evolution of molecular pathways across species. Querying such pathways is a challenging computational problem, and recent e...
Banu Dost, Tomer Shlomi, Nitin Gupta 0002, Eytan R...