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» Combining Two Data Mining Methods for System Identification
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BMCBI
2006
91views more  BMCBI 2006»
13 years 7 months ago
In silico identification of putative promoter motifs of White Spot Syndrome Virus
Background: White Spot Syndrome Virus, a member of the virus family Nimaviridae, is a large dsDNA virus infecting shrimp and other crustacean species. Although limited information...
Hendrik Marks, Xin-Ying Ren, Hans Sandbrink, Mari&...
PAKDD
2009
ACM
72views Data Mining» more  PAKDD 2009»
14 years 2 months ago
A Multi-resolution Approach for Atypical Behaviour Mining
Atypical behaviours are the basis of a valuable knowledge in domains related to security (e.g. fraud detection for credit card [1], cyber security [4] or safety of critical systems...
Alice Marascu, Florent Masseglia
ICDM
2008
IEEE
143views Data Mining» more  ICDM 2008»
14 years 2 months ago
Exploiting Data Semantics to Discover, Extract, and Model Web Sources
We describe DEIMOS, a system that automatically discovers and models new sources of information. The system exploits four core technologies developed by our group that makes an en...
José Luis Ambite, Craig A. Knoblock, Kristi...
IJCBDD
2010
127views more  IJCBDD 2010»
13 years 6 months ago
Predicting protein complexes by data integration of different types of interactions
: The explosion of highthroughput interaction data from proteomics studies gives us the opportunity to integrate Protein-Protein Interactions (PPI) from different type of interacti...
Powell Patrick Cheng Tan, Daryanaz Dargahi, Freder...
ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
13 years 5 months ago
Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data
Scientists increasingly use ensemble data sets to explore relationships present in dynamic systems. Ensemble data sets combine spatio-temporal simulation results generated using mu...
Kristin Potter, Andrew Wilson, Peer-Timo Bremer, D...