We consider the problem of the binary classification on imbalanced data, in which nearly all the instances are labelled as one class, while far fewer instances are labelled as the...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
Database system architectures are undergoing revolutionary changes. Most importantly, algorithms and data are being unified by integrating programming languages with the database ...
Decision criteria based on an imprecise probability representation of uncertainty have been criticized, from the normative point of view, on the grounds that they make the decisio...
Abstract The Internet and the Web are increasingly used to disseminate fast changing data such as sensor data, traffic and weather information, stock prices, sports scores, and eve...
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...