We set up an early warning system for financial crises based on the Random Forrest approach. use a novel of predictors that comprises development indicators in addition to conventional imbalances measures. The evaluation model is conducted using three-step procedure (i.e. training, validation and testing sub-samples). results indicate combining helps improve out-of-sample accuracy system.

The delivery of user-tailored warning messages for heterogeneous user groups is a challenge rarely covered by hazard monitoring and early warning systems. While attention is mostly focused on sensor measurements and disaster prediction, warning message dissemination is often based on technical terminology and is not appropriate for the majority of interested user groups. This article describes ...

In food supply networks, ensuring quality of end products is a critical issue. The quality of these products depends in a complex way on many factors. In order to effectively control food quality, our research aims at implementing early warning and proactive control systems in food supply networks. In these systems we use data mining techniques and exploit large amounts of operational data coll...

Recognition and timely action around "warning signs" of illness exacerbation is central to the self-management of bipolar disorder. Due to its heterogeneity and fluctuating course, passive and active mobile technologies have been increasingly evaluated as adjunctive or standalone tools to predict and prevent risk of worsening of course in bipolar disorder. As predictive analytics approaches to ...