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» Informative sampling for large unbalanced data sets
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PVLDB
2008
146views more  PVLDB 2008»
15 years 3 months ago
Resisting structural re-identification in anonymized social networks
We identify privacy risks associated with releasing network data sets and provide an algorithm that mitigates those risks. A network consists of entities connected by links repres...
Michael Hay, Gerome Miklau, David Jensen, Donald F...
141
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ICDM
2010
IEEE
128views Data Mining» more  ICDM 2010»
15 years 1 months ago
User-Based Active Learning
Active learning has been proven a reliable strategy to reduce manual efforts in training data labeling. Such strategies incorporate the user as oracle: the classifier selects the m...
Christin Seifert, Michael Granitzer
ICPR
2000
IEEE
15 years 7 months ago
REFLICS: Real-Time Flow Imaging and Classification System
Abstract. An accurate analysis of a large dynamic system like our oceans requires spatially fine and temporally matched data collection methods. Current methods to estimate fish st...
Sadahiro Iwamoto, Mohan M. Trivedi, David M. Check...
INFOVIS
2005
IEEE
15 years 9 months ago
An Interactive 3D Integration of Parallel Coordinates and Star Glyphs
Parallel Coordinates are a powerful method for visualizing multidimensional data, however, with large data sets they can become cluttered and difficult to read. On the other hand...
Elena Fanea, M. Sheelagh T. Carpendale, Tobias Ise...
APVIS
2011
14 years 3 months ago
Full-resolution interactive CPU volume rendering with coherent BVH traversal
We present an efficient method for volume rendering by raycasting on the CPU. We employ coherent packet traversal of an implicit bounding volume hierarchy, heuristically pruned u...
Aaron Knoll, Sebastian Thelen, Ingo Wald, Charles ...