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ESCIENCE
2005
IEEE
15 years 9 months ago
A Grid Environment for Data Integration of Scientific Databases
Effective integration of heterogeneous data sources has been studied as the most pressing challenge in various fields; such as, high energy physics, astronomy, and life sciences. ...
Hideo Matsuda
157
Voted
HCW
1999
IEEE
15 years 7 months ago
Multiple Cost Optimization for Task Assignment in Heterogeneous Computing Systems Using Learning Automata
A framework for task assignment in heterogeneous computing systems is presented in this work. The framework is based on a learning automata model. The proposed model can be used f...
Raju D. Venkataramana, N. Ranganathan
JMLR
2002
138views more  JMLR 2002»
15 years 3 months ago
Learning Probabilistic Models of Link Structure
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
172
Voted
MSR
2006
ACM
15 years 9 months ago
MAPO: mining API usages from open source repositories
To improve software productivity, when constructing new software systems, developers often reuse existing class libraries or frameworks by invoking their APIs. Those APIs, however...
Tao Xie, Jian Pei
232
Voted
ICDE
2008
IEEE
146views Database» more  ICDE 2008»
16 years 5 months ago
DIPBench Toolsuite: A Framework for Benchmarking Integration Systems
So far the optimization of integration processes between heterogeneous data sources is still an open challenge. A first step towards sufficient techniques was the specification of ...
Dirk Habich, Matthias Böhm, Uwe Wloka, Wolfga...