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» Practical Preference Relations for Large Data Sets
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VISUALIZATION
1997
IEEE
15 years 10 months ago
Extracting feature lines from 3D unstructured grids
This paper discusses techniques for extracting feature lines from three-dimensional unstructured grids. Our twin objectives are to facilitate the interactive manipulation of these...
Kwan-Liu Ma, Victoria Interrante
BMCBI
2008
129views more  BMCBI 2008»
15 years 6 months ago
Mining phenotypes for gene function prediction
Background: Health and disease of organisms are reflected in their phenotypes. Often, a genetic component to a disease is discovered only after clearly defining its phenotype. In ...
Philip Groth, Bertram Weiss, Hans-Dieter Pohlenz, ...
CORR
2006
Springer
125views Education» more  CORR 2006»
15 years 6 months ago
10^(10^6) Worlds and Beyond: Efficient Representation and Processing of Incomplete Information
We present a decomposition-based approach to managing probabilistic information. We introduce world-set decompositions (WSDs), a space-efficient and complete representation system ...
Lyublena Antova, Christoph Koch, Dan Olteanu
ESORICS
2006
Springer
15 years 9 months ago
Towards an Information-Theoretic Framework for Analyzing Intrusion Detection Systems
IDS research still needs to strengthen mathematical foundations and theoretic guidelines. In this paper, we build a formal framework, based on information theory, for analyzing and...
Guofei Gu, Prahlad Fogla, David Dagon, Wenke Lee, ...
SCIENTOMETRICS
2010
158views more  SCIENTOMETRICS 2010»
15 years 4 months ago
Rete-netzwerk-red: analyzing and visualizing scholarly networks using the Network Workbench Tool
The enormous increase in digital scholarly data and computing power combined with recent advances in text mining, linguistics, network science, and scientometrics make it possible...
Katy Börner, Weixia Huang, Micah Linnemeier, ...