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» Evaluating role mining algorithms
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NIPS
2004
13 years 11 months ago
Brain Inspired Reinforcement Learning
Successful application of reinforcement learning algorithms often involves considerable hand-crafting of the necessary non-linear features to reduce the complexity of the value fu...
François Rivest, Yoshua Bengio, John Kalask...
KDD
2009
ACM
187views Data Mining» more  KDD 2009»
14 years 11 months ago
New ensemble methods for evolving data streams
Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such...
Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes...
ECLIPSE
2006
ACM
14 years 4 months ago
HAM: cross-cutting concerns in Eclipse
As programs evolve, newly added functionality sometimes no longer aligns with the original design, ending up scattered across the software system. Aspect mining tries to identify ...
Silvia Breu, Thomas Zimmermann, Christian Lindig
KDD
2003
ACM
190views Data Mining» more  KDD 2003»
14 years 10 months ago
Distance-enhanced association rules for gene expression
We introduce a novel data mining technique for the analysis of gene expression. Gene expression is the effective production of the protein that a gene encodes. We focus on the cha...
Aleksandar Icev, Carolina Ruiz, Elizabeth F. Ryder
KDD
2009
ACM
132views Data Mining» more  KDD 2009»
14 years 11 months ago
Learning patterns in the dynamics of biological networks
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
Chang Hun You, Lawrence B. Holder, Diane J. Cook