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» Decision Support By Learning-On-Demand
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CHI
2009
ACM
14 years 9 months ago
Making sense of strangers' expertise from signals in digital artifacts
Contemporary work increasingly involves interacting with strangers in technology-mediated environments. In this context, we come to rely on digital artifacts to infer characterist...
N. Sadat Shami, Kate Ehrlich, Geri Gay, Jeffrey T....
PODS
2009
ACM
136views Database» more  PODS 2009»
14 years 9 months ago
Distributed XML design
A distributed XML document is an XML document that spans several machines or Web repositories. We assume that a distribution design of the document tree is given, providing an XML...
Serge Abiteboul, Georg Gottlob, Marco Manna
KDD
2008
ACM
232views Data Mining» more  KDD 2008»
14 years 9 months ago
Anticipating annotations and emerging trends in biomedical literature
The BioJournalMonitor is a decision support system for the analysis of trends and topics in the biomedical literature. Its main goal is to identify potential diagnostic and therap...
Bernd Wachmann, Dmitriy Fradkin, Fabian Mörch...
KDD
2007
ACM
566views Data Mining» more  KDD 2007»
14 years 9 months ago
IMDS: intelligent malware detection system
The proliferation of malware has presented a serious threat to the security of computer systems. Traditional signature-based antivirus systems fail to detect polymorphic and new, ...
Yanfang Ye, Dingding Wang, Tao Li, Dongyi Ye
KDD
2006
ACM
129views Data Mining» more  KDD 2006»
14 years 9 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...