Code
01J03211
Duration
01 May 2010 → 30 September 2015
Funding
Regional and community funding: Special Research Fund
Promotor
Research disciplines
-
Natural sciences
- Applied mathematics in specific fields
- Artificial intelligence
-
Social sciences
- Cognitive science and intelligent systems
Keywords
machine learning
fuzzy rough sets
feature selection
classification
instance selection
regression
Project description
As datasets are getting more and more high-dimensional, there is an emerging need for data reduction techniques. This project focuses both on feature selection that selects relevant features and instance selection that removes irrelevant or noisy instances. More specifically, we work on fuzzy rough data reduction, data reduction for imbalanced datasets and robust data reduction.