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» Modeling Context-Aware Distributed Knowledge
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COGSR
2011
105views more  COGSR 2011»
13 years 4 months ago
Inductive rule learning on the knowledge level
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
Ute Schmid, Emanuel Kitzelmann
IPPS
2007
IEEE
14 years 4 months ago
Pseudo Trust: Zero-Knowledge Based Authentication in Anonymous Peer-to-Peer Protocols
Most of the current trust models in peer-to-peer (P2P) systems are identity based, which means that in order for one peer to trust another, it needs to know the other peer’s ide...
Li Lu, Jinsong Han, Lei Hu, Jinpeng Huai, Yunhao L...
KDD
2005
ACM
160views Data Mining» more  KDD 2005»
14 years 10 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen
ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
14 years 3 months ago
Postprocessing Decision Trees to Extract Actionable Knowledge
Most data mining algorithms and tools stop at discovered customer models, producing distribution information on customer profiles. Such techniques, when applied to industrial pro...
Qiang Yang, Jie Yin, Charles X. Ling, Tielin Chen
HICSS
2006
IEEE
107views Biometrics» more  HICSS 2006»
14 years 4 months ago
Mobilizing Intellectual Bandwidth in a Distributed Virtual Organization: The Missing Links
The rise of distributed collaborative environments has brought about new opportunities for bringing together the experience and skills of geographically dispersed employees toward...
Sajda Qureshi, Arthur de Leeuw