The main activity of the laboratory of Data Mining is data mining and signal processing using models of human brain ability to learn, adapt, associate, generalize and develop abstractions. Most of the models are based on the artificial neural networks, genetic algorithms, hidden Markov models and other approaches capable of adopting to processed data. The research covers development of theory and applications in the following areas:
Visual patterns recognition and classification.
Russian speech recognition.
Financial time series forecasting.
Trading system creation.
Blind signals deconvolution.
3D images processing.
2D to 3D images conversion.
Members of the group made valuable contribution to projects of Moscow State University, UKAEA Fusion Association, GMD (Germany), Samsung SAIT, Hitachi CRL.
The research was supported by grants of the President of Russian Federation and ISTC (International Scientific Technical Center).