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» Extracting Large-Scale Knowledge Bases from the Web
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ICDE
2000
IEEE
174views Database» more  ICDE 2000»
15 years 11 months ago
Self-Adaptive User Profiles for Large-Scale Data Delivery
Push-based data delivery requires knowledge of user interests for making scheduling, bandwidthallocation, and routing decisions. Such information is maintained as user profiles. W...
C. Lee Giles, Michael J. Franklin, Ugur Çet...
BMCBI
2008
220views more  BMCBI 2008»
14 years 10 months ago
Gene prediction in metagenomic fragments: A large scale machine learning approach
Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...
TKDE
2002
123views more  TKDE 2002»
14 years 9 months ago
Coordinated Placement and Replacement for Large-Scale Distributed Caches
In a large-scale information system such as a digital library or the web, a set of distributed caches can improve their effectiveness by coordinating their data placement decisions...
Madhukar R. Korupolu, Michael Dahlin
CCGRID
2006
IEEE
15 years 4 months ago
Large Scale Distributed Simulation on the Grid
The development of many complex simulation applications requires collaborative effort from researchers with different domain knowledge and expertise, possibly at different locatio...
Georgios K. Theodoropoulos, Yi Zhang, Dan Chen, Ro...
AAAI
1998
14 years 11 months ago
Learning to Extract Symbolic Knowledge from the World Wide Web
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a...
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew M...