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» Decision Support Systems Using Hybrid Neurocomputing
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DIS
2006
Springer
15 years 6 months ago
Incremental Algorithm Driven by Error Margins
Incremental learning is an approach to deal with the classification task when datasets are too large or when new examples can arrive at any time. One possible approach uses concent...
Gonzalo Ramos-Jiménez, José del Camp...
218
Voted
ICDE
2007
IEEE
159views Database» more  ICDE 2007»
16 years 3 months ago
The Multi-Relational Skyline Operator
Most of the existing work on skyline query has been extensively used in decision support, recommending systems etc, and mainly focuses on the efficiency issue for a single table. ...
Wen Jin, Martin Ester, Zengjian Hu, Jiawei Han
ICDE
2002
IEEE
104views Database» more  ICDE 2002»
16 years 3 months ago
Efficient Evaluation of Queries with Mining Predicates
Modern relational database systems are beginning to support ad hoc queries on mining models. In this paper, we explore novel techniques for optimizing queries that apply mining mo...
Surajit Chaudhuri, Vivek R. Narasayya, Sunita Sara...
HICSS
2009
IEEE
213views Biometrics» more  HICSS 2009»
15 years 9 months ago
AURUM: A Framework for Information Security Risk Management
—As companies are increasingly exposed to a variety of information security threats, they are permanently forced to pay attention to security issues. Risk management provides an ...
Andreas Ekelhart, Stefan Fenz, Thomas Neubauer
115
Voted
ICAPR
2009
Springer
15 years 9 months ago
Relevant and Redundant Feature Analysis with Ensemble Classification
— Feature selection and ensemble classification increase system efficiency and accuracy in machine learning, data mining and biomedical informatics. This research presents an ana...
Rakkrit Duangsoithong, Terry Windeatt