The ADMIRABLE (Advanced Data MIning Research And Business intelligence/Big data/Bioinformatics LEarning) research group main aim is the development of new ensemble algorithms and the application of data mining, data visualization and pattern matching techniques to diverse various domains such as: fault detection (in machine tools, in wind power mills), bioinformatics, time series classification or multidimensional data analysis industrial environments. Among the main achievements of the researchers of the group is the development of several new data mining algorithms: Rotation Forest, Nonlinear Boosting Projections, Disturbing Neighbours, Democratic Instance Selection, GRASP Forest, Random Balance, Random Feature Weights, Random Oracles that have aroused the interest of the data mining community. For example, Rotation Forest is an algorithm considered as a method of reference in some reference books in the area. The group is recognized by regional government of Castile and Leon as a Consolidated Research Unit.
Advanced Data Mining Research and Bioinformatics Learning (ADMIRABLE) (English)
The eEarlyCare-T Project, co-funded by the European Union, which aims to develop materials, virtual learning environments and practical virtual laboratories in the field of...