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Physiological Data Modeling Contest

The physiological data is characterized by large amounts of data, sequential data, issues of sensor fusion, and a rich domain complete with noise, hidden variables, and significant effects of context. There is a continuous flow of data, and the problem is to built a predictive model from the data stream. Several authors refer desirable properties for mining data streams: incremental algorithms, able to process examples in constant time and memory, performing a single scan over the training data, maintaining classifiers at any time, and dealing with concept drift.