An integrated and cross-disciplinary approach towards biclustering and constraint ...
Methods and algorithms in unsupervised and semi-supervised machine learning
Scalable descriptive models over extensive volumes of distributed data
Study and development of validation methods for density- and graph-based clusterin...
Study and Development of Metric Access Methods Using Semantic Data Grouping