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» Data Mining and Database Systems: Where is the Intersection
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MINENET
2005
ACM
14 years 1 months ago
Topographical proximity for mining network alarm data
Increasingly powerful fault management systems are required to ensure robustness and quality of service in today’s networks. In this context, event correlation is of prime impor...
Ann Devitt, Joseph Duffin, Robert Moloney
SAC
2006
ACM
14 years 1 months ago
Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data
Traditional Data Mining and Knowledge Discovery algorithms assume free access to data, either at a centralized location or in federated form. Increasingly, privacy and security co...
Hwanjo Yu, Xiaoqian Jiang, Jaideep Vaidya
ISMIS
1999
Springer
13 years 12 months ago
Applications and Research Problems of Subgroup Mining
Knowledge Discovery in Databases (KDD) is a data analysis process which, in contrast to conventional data analysis, automatically generates and evaluates very many hypotheses, deal...
Willi Klösgen
ICPR
2010
IEEE
13 years 11 months ago
Recognition and Prediction of Situations in Urban Traffic Scenarios
The recognition and prediction of intersection situations and an accompanying threat assessment are an indispensable skill of future driver assistance systems. This study focuses o...
Eugen Käfer, Christoph Hermes, Christian Wöhler,...
ICDE
2010
IEEE
198views Database» more  ICDE 2010»
14 years 28 days ago
Power-aware data analysis in sensor networks
Abstract— Sensor networks have evolved to a powerful infrastructure component for event monitoring in many application scenarios. In addition to simple filter and aggregation op...
Daniel Klan, Katja Hose, Marcel Karnstedt, Kai-Uwe...