The ADMIRABLE (Advanced Data MIning Research And Business intelligence/Bioinformatics/Big data 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 fields as
bioinformatics, time series classification and high dimensional data
Among the main achievements of the researchers of the
group is the development of three new ensemble construction algorithms:
Rotation Forest, Disturbing Neighbours and Nonlinear Boosting Projections that have aroused
the interest of the data mining community.
Its member are in close relationship
with research groups of other universities, currently collaborating
with groups from the universities of Córdoba and Valladolid. The
researchers of the group have international connections too. They have
done research works while visiting other universities such as Stockholm
University in Sweden, University of Gales and West Scotland University
in United Kingdom, and Tsinghua University in China.
Its research interest are among others: Artificial Intelligence, Data Mining, Multi-Dimensional Data
Visualization, Ensemble Construction, Bioinformatics, Regressors
Ensembles, Instance Selection, Feature Selection, Decision Trees.
The group is recognized by regional government of Castile and Leon as a Consolidated Research Unit.