Imagen del grupo de investigación

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.

Researchers

Classifications

  • Application Area: CIENTÍFICO TÉCNICA
  • Group Character: 01
  • ANEP Area: Ciencias de la computación y tecnología informática
  • Group Recognition: GRUPO RECONOCIDO UBU

Prevailing specialties (top 10) Obtained from publications help
Obtained from publications

The thematic specialties shown were obtained through the application of artificial intelligence models, obtained as a result of the Hercules Project.

The list may contain errors. Under evaluation and improvement. Shared to gather community suggestions.

  1. Artificial Intelligence (Computer Science) Filter
  2. Human-Computer Interaction (Computer Science) Filter
  3. Mechanical Engineering (Engineering) Filter
  4. Neurology (Neuroscience) Filter
  5. Computer Graphics and Computer-Aided Design (Computer Science) Filter
  6. Computers and Society (Computer Science) Filter
  7. Mechanics of Materials (Engineering) Filter
  8. Statistics and Probability (Mathematics) Filter
  9. Electrical and Electronic Engineering (Engineering) Filter
  10. Computer Vision and Pattern Recognition (Computer Science) Filter

Former members (12)