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» Query Optimization Using Multiple SIP Strategies
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KDD
2009
ACM
227views Data Mining» more  KDD 2009»
14 years 11 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
SIGMOD
1996
ACM
120views Database» more  SIGMOD 1996»
14 years 3 months ago
Query Execution Techniques for Caching Expensive Methods
Object-Relational and Object-Oriented DBMSs allow users to invoke time-consuming ("expensive") methods in their queries. When queries containing these expensive methods a...
Joseph M. Hellerstein, Jeffrey F. Naughton
ICDE
2010
IEEE
203views Database» more  ICDE 2010»
14 years 3 months ago
Optimizing ETL workflows for fault-tolerance
Extract-Transform-Load (ETL) processes play an important role in data warehousing. Typically, design work on ETL has focused on performance as the sole metric to make sure that the...
Alkis Simitsis, Kevin Wilkinson, Umeshwar Dayal, M...
VLDB
1998
ACM
111views Database» more  VLDB 1998»
14 years 3 months ago
Filtering with Approximate Predicates
Approximate predicates can be used to reduce the number of comparisons made by expensive, complex predicates. For example, to check if a point is within a region (expensive predic...
Narayanan Shivakumar, Hector Garcia-Molina, Chandr...
CGF
2011
13 years 5 months ago
A Parallel SPH Implementation on Multi-Core CPUs
This paper presents a parallel framework for simulating fluids with the Smoothed Particle Hydrodynamics (SPH) method. For low computational costs per simulation step, efficient ...
Markus Ihmsen, Nadir Akinci, Markus Becker, Matthi...