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» Extracting Large-Scale Knowledge Bases from the Web
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SIGIR
2008
ACM
14 years 11 months ago
A study of learning a merge model for multilingual information retrieval
This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we also present a large number of f...
Ming-Feng Tsai, Yu-Ting Wang, Hsin-Hsi Chen
BMCBI
2008
122views more  BMCBI 2008»
14 years 11 months ago
Reconstructing networks of pathways via significance analysis of their intersections
Background: Significance analysis at single gene level may suffer from the limited number of samples and experimental noise that can severely limit the power of the chosen statist...
Mirko Francesconi, Daniel Remondini, Nicola Nerett...
94
Voted
EON
2003
15 years 1 months ago
An Ontology-Driven Application to Improve the Prescription of Educational Resources to Parents of Premature Infants
CST’s Baby CareLink provides a ‘collaborative healthware’ environment for parents of premature infants that incorporates just-in-time learning as one means of knowledge explo...
Howard Goldberg, Alfredo Morales, David MacMillan,...
KDD
2008
ACM
138views Data Mining» more  KDD 2008»
16 years 2 days ago
A visual-analytic toolkit for dynamic interaction graphs
In this article we describe a visual-analytic tool for the interrogation of evolving interaction network data such as those found in social, bibliometric, WWW and biological appli...
Xintian Yang, Sitaram Asur, Srinivasan Parthasarat...
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 2 days ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan