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KDD
2005
ACM
73views Data Mining» more  KDD 2005»
16 years 6 months ago
Using relational knowledge discovery to prevent securities fraud
We describe an application of relational knowledge discovery to a key regulatory mission of the National Association of Securities Dealers (NASD). NASD is the world's largest...
Özgür Simsek, David Jensen, Henry G. Gol...
KDD
2003
ACM
133views Data Mining» more  KDD 2003»
16 years 6 months ago
Interactive Analysis of Gene Interactions Using Graphical gaussian model
DNA microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
Xintao Wu, Yong Ye, Kalpathi R. Subramanian
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
16 years 3 months ago
Top-k Correlative Graph Mining.
Correlation mining has been widely studied due to its ability for discovering the underlying occurrence dependency between objects. However, correlation mining in graph databases ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
TACAS
2010
Springer
210views Algorithms» more  TACAS 2010»
16 years 1 months ago
Automatic Analysis of Scratch-Pad Memory Code for Heterogeneous Multicore Processors
Modern multicore processors, such as the Cell Broadband Engine, achieve high performance by equipping accelerator cores with small “scratchpad” memories. The price for increase...
Alastair F. Donaldson, Daniel Kroening, Philipp R&...
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
16 years 28 days ago
The Feature Importance Ranking Measure
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
Alexander Zien, Nicole Krämer, Sören Son...